7851 Courses delivered On Demand

The Microsoft Office Specialist (MOS) is a globally recognised qualification. Having a Microsoft Office Specialist certification on your CV demonstrates that you have gained the necessary expertise to competently use Microsoft applications, giving you a competitive advantage when job hunting as well as in the workplace. It will significantly increase your confidence, skills and employability. It will serve to objectively validate your IT skills and assist in your advancement in your chosen career.

This course bundle is ideal for anyone looking to establish their Cisco networking career. It consists of one Cisco Certified Network Associate (CCNA) certification, one Cisco Certified DevNet Associate (CCDA) certification, and four Cisco Certified Networking Professional (CCNP) certifications. Although there are no formal prerequisites to enrol on the CCNA, CCDA, or CCNP certification courses and sit the exams, learners should have a good foundation knowledge in networking. The newly retooled CCNA covers a breadth of topics, including: Network fundamentals Network access IP connectivity IP services Security fundamentals Automation and programmability Achieving CCNA certification is the first step in preparing for a career in networking technologies. To earn your CCNA certification, you only need to pass one exam – which covers a broad range of fundamentals for IT careers, based on the latest networking technologies. The Cisco Certified DevNet Associate certification validates your skills and knowledge in understanding and using APIs, Cisco platforms and development, application development and security, and infrastructure and automation. Ideally, DevNet Associates candidates also have one or more years of experience with software development including Python programming. The CCNP is the next level from the CCNA and CCDA. As with the CCNA, there are no formal prerequisites to enrol on the CCNP certification course and sit for the exams. Learners taking a CCNP course generally have an in-depth knowledge of networking, as well as a good understanding of Cisco technologies. The typical certification path for most learners would begin with either the CCDA or CCNA, then progress onto the CCNP. Learners need to pass two exams (one core exam and one concentration exam) in order to gain one CCNP certification. This course bundle includes the core exam and three concentration exams. Once a learner has passed the core exam, they can choose to specialise in one or all three of the CCNP concentration areas listed in this course. The core exam’s focus is based around implementing and operating Cisco enterprise network core technologies.

Colour Therapy Certificate The shading treatment course offers understudies all the fundamental data needed to perform shading treatment. This instructional class furnishes understudies with guidance that will put you on the way to starting a vocation in this field. This course is ideal for understudies keen on studying elective treatments. Shading treatment is an all encompassing methodology that utilizes the utilization of tones to treat disease and equilibrium energies in the body. This all encompassing methodology is a technique known to treat a horde of general medical issue. As you work through this course you will acquire a thorough outline of the historical backdrop of shading treatment and how the interaction functions. Prologue to the Color Therapy Course As this is an internet instructional class, understudies can contemplate material at whatever point and any place it's advantageous for them. Most selected understudies are as yet ready to work all day and keep a way of life while seeking after their degrees. Our investigation material is open from any gadget with a web association and online help is accessible while you train. Whenever you have finished the course, you will be needed to breeze through a various decision test. After effective finishing of the test, you will be granted your declaration, which can be printed or posted for you at an extra expense. What You Will Learn The shading treatment course furnishes understudies with an outline of the shading treatment strategy, which sets you up for a profession in this field. This course will cover: The sources and history of shading mending An outline of shading brain research How shading mending functions An outline of chakras An investigate how tone is applied An outline into shading in our current circumstance An outline of tones and their mending properties Advantages of the Color Therapy Certificate Understudies who pursue acquiring their shading treatment testament online will see a few advantages. These include: The accommodation of concentrating anyplace with a legitimate web association. Study at your own speed, there is no time limit for this course, so you can finish it regardless of what amount of time it requires for you. Course material that is accessible across any gadget including PCs, cell phones or tablets. The comfort to effectively oversee modules and see course structure. Online help accessible to help you keep on track. An exhaustive prospectus that will quick track in the process to turning into a shading treatment master. The chance to improve possibilities while applying for work or volunteer freedoms. A moderate valuing structure. An ensured authentication in the business upon effective finishing.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

The RYA Yachtmaster Fast Track Online Theory Course is an online theory course designed to suit those who have a lot of experience at sea but have no formal qualifications. Alternatively, perhaps you have completed the Day Skipper course but your skills are a little rusty and underused. The RYA Yachtmaster Course Fast Track course will provide a little more background on each topic before moving onto the advanced skills of the Yachtmaster syllabus.

Overview This comprehensive course on Kotlin Programming : Android Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin Programming : Android Coding comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Kotlin Programming : Android Coding. It is available to all students, of all academic backgrounds. Requirements Our Kotlin Programming : Android Coding is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 11 sections • 73 lectures • 05:38:00 total length •Introduction To This Course: 00:02:00 •Windows Setup: 00:13:00 •Mac Setup: 00:10:00 •Linux Setup: 00:12:00 •Online Code Editor: 00:02:00 •Variables: 00:06:00 •Data Types: 00:06:00 •String: 00:05:00 •Array: 00:07:00 •Data Type Conversion: 00:05:00 •Comments: 00:04:00 •Arithmetic Operators: 00:07:00 •Relational Operators: 00:06:00 •Assignment Operators: 00:06:00 •Unary Operators: 00:05:00 •Bitwise Operators: 00:09:00 •Logical Operators: 00:04:00 •Input & Output: 00:03:00 •Conditional if Statement: 00:05:00 •when Statement: 00:07:00 •For Loop: 00:04:00 •while Loop: 00:04:00 •do while Loop: 00:04:00 •Break Statement: 00:04:00 •Continue Statement: 00:04:00 •Basic Functions: 00:03:00 •Function Parameters: 00:04:00 •Return Values: 00:04:00 •Recursion: 00:04:00 •Default & Named Arguments: 00:06:00 •Lambda Function: 00:04:00 •Higher Order Function: 00:05:00 •Inline Function: 00:02:00 •Try Catch Block: 00:04:00 •Try Catch Expression: 00:05:00 •Multiple Catch Block: 00:05:00 •Nested Try Catch Block: 00:05:00 •Finally Block: 00:02:00 •Throw Keyword: 00:02:00 •Nullable & Non Nullable Types: 00:03:00 •Smart Cast: 00:02:00 •Unsafe and Safe Cast: 00:03:00 •Elvis Operator: 00:04:00 •List: listOf Function: 00:06:00 •List: mutableListOf Function: 00:05:00 •List: arrayListOf Function: 00:06:00 •Map: mapOf Function: 00:07:00 •Map: HashMap: 00:08:00 •Map: hashMapOf Function: 00:05:00 •Map: mutableMapOf Function: 00:04:00 •Set: setOf Function: 00:04:00 •Set: mutableSetOf Function: 00:04:00 •Set: HashSet: 00:04:00 •Basic Example: 00:07:00 •Nested and Inner Class: 00:06:00 •Constructors: 00:05:00 •Visibility Modifiers: 00:06:00 •Inheritance: 00:05:00 •Method Overriding: 00:04:00 •Property Overriding: 00:02:00 •Abstract Class: 00:03:00 •Superclass: 00:03:00 •Data Class: 00:05:00 •Multiple Class Inheritance & Interfaces: 00:03:00 •Sealed Class: 00:03:00 •Extension Function: 00:03:00 •Generics: 00:05:00 •Integer Type Range: 00:05:00 •Regex: 00:04:00 •Call Java from Kotlin: 00:03:00 •Call Kotlin from Java: 00:02:00 •Resource: 00:00:00 •Assignment - Kotlin Masterclass Programming Course: Android Coding Bible: 00:00:00

Adult Education Mastery Training is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Adult Education Mastery Training and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 06 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Hook Your Class Introduction and Welcome to Training Essentials of Adult Education 00:29:00 Hook Your Class - Part 1 00:17:00 Hook Your Class - Part 2 00:23:00 Become Their Favorite Become Their Favorite - Part 1 00:31:00 Become Their Favorite - Part 2 00:32:00 Create Your Presence 00:20:00 Engage and Teach All Learners Understand Your Learners 00:32:00 Reach Every Learner - Part 1 00:35:00 Reach Every Learner - Part 2 00:30:00 Create Amazing Training Materials Create Amazing Training Materials - Part 1 00:32:00 Create Amazing Training Materials - Part 2 00:20:00 Handle Challenging Trainees Handle Resenters, Talk Hogs, Hecklers and Gripers 00:24:00 Handle Experts, Know-It-Alls and Quiet Types 00:20:00 Workbook Workbook - Adult Education Mastery Training 00:00:00

Overview This comprehensive course on AutoCAD Programming using VB.NET with Windows Forms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This AutoCAD Programming using VB.NET with Windows Forms comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this AutoCAD Programming using VB.NET with Windows Forms. It is available to all students, of all academic backgrounds. Requirements Our AutoCAD Programming using VB.NET with Windows Forms is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 6 sections • 61 lectures • 09:51:00 total length •Module 01: Course Outline: 00:03:00 •Module 02: Introduction: 00:05:00 •Module 03: Who is this course for?: 00:04:00 •Module 04: Tools Needed for this Course: 00:01:00 •Module 01: What will you learn from this Course - Overview: 00:06:00 •Module 01: Windows Form and Controls - Overview: 00:04:00 •Module 02: ControlsDemo Project - Overview: 00:03:00 •Module 03: ControlsDemo Project - Creating the Project: 00:04:00 •Module 04: Controls Demo Project - Designing the Form: 00:19:00 •Module 05: ControlsDemo Project - Creating the Utility Class: 00:10:00 •Module 06: ControlsDemo Project - Coding the Combobox Control: 00:15:00 •Module 07: ControlsDemo Project - Coding the Textbox Control: 00:10:00 •Module 08: ControlsDemo Project - Coding the Radiobutton Control: 00:08:00 •Module 09: ControlsDemo Project - Coding the Checkbox Control: 00:17:00 •Module 01: Draw Rectangle Project - Overview: 00:03:00 •Module 02: Creating the DrawRectangle Project: 00:04:00 •Module 03: DrawRectangle Project - Creating the Utility Class: 00:20:00 •Module 04: DrawRectangle Project - Designing the Form: 00:15:00 •Module 05: DrawRectangle Project - Coding the User Interface Part 1: 00:24:00 •Module 06: DrawRectangle Project - Coding the User Interface Part 2: 00:18:00 •Module 07: DrawRectangle Project - Running the Program: 00:06:00 •Module 08: Automate Update Layer Project - Overview: 00:02:00 •Module 09: Creating the AutomateUpdateLayer Project: 00:03:00 •Module 10: Automate Update Layer Project - Creating the Utility Class: 00:17:00 •Module 11: AutomateUpdateLayer Project - Designing the User Interface: 00:07:00 •Module 12: AutomateUpdateLayer Project - Coding the Form: 00:18:00 •Module 13: AutomateUpdateLayer Project - Running the Program: 00:07:00 •Module 14: Automatic Block Extractor Project - Overview: 00:03:00 •Module 15: AutomaticBlockExtractor Project - Creating the Project: 00:03:00 •Module 16: AutomaticBlockExtractor Project - Creating the User Interface: 00:09:00 •Module 17: AutomaticBlockExtractor Project - Coding the Form: 00:27:00 •Module 18: AutomaticBlockExtractor Project - Creating the Utility Class: 00:27:00 •Module 19: AutomaticBlockExtractor Project - Running the Program: 00:10:00 •Module 20: AutomateUpdateTextStyles Project - Overview: 00:03:00 •Module 21: AutomateUpdateTextStyle Project - Creating the Project: 00:02:00 •Module 22: AutomateUpdateTextStyle Project - Creating the User Interface: 00:09:00 •Module 23: AutomateUpdateTextStyle Project - Coding the Form: 00:20:00 •Module 24: AutomateUpdateTextStyle Project - Coding the Utility Class: 00:16:00 •Module 25: AutomateUpdateTextStyle Project - Running the Program: 00:08:00 •Module 26: Multiple Plot DWG to PDF Project - Overview: 00:03:00 •Module 27: MultiplePlotDWGtoPDF Project - Creating the Project: 00:04:00 •Module 28: MultiplePlotDWGtoPDF Project - Creating the User Interface: 00:09:00 •Module 29: MultiplePlotDWGtoPDF Project - Coding the Form: 00:20:00 •Module 30: MultiplePlotDWGtoPDF Project - Creating the Utility Class: 00:30:00 •Module 31: MultiplePlotDWGtoPDF Project - Running the Program: 00:13:00 •Module 32: Multiple Object Extractor Project - Overview: 00:03:00 •Module 33: MultipleObjectExtractor Project - Creating the Project: 00:02:00 •Module 34: MultipleObjectExtractor Project - Creating the User Interface: 00:15:00 •Module 35: MultipleObjectExtractor Project - Coding the Form Load Event: 00:05:00 •Module 36: MultipleObjectExtractor Project - Coding the Browse Buttons: 00:10:00 •Module 37: MultipleObjectExtractor Project - Coding the Extract Button: 00:20:00 •Module 38: MultipleObjectExtractor Project - Coding the ProcessDrawing Method: 00:09:00 •Module 39: MultipleObjectExtractor Project - Coding the ProcessObjectExtraction Method: 00:11:00 •Module 40: MultipleObjectExtractor Project - Coding the ExtractLine Method: 00:09:00 •Module 41: MultipleObjectExtractor Project - Coding the ExtractCircle Method: 00:03:00 •Module 42: MultipleObjectExtractor Project - Coding the ExtractPolyline Method: 00:09:00 •Module 43: MultipleObjectExtractor Project - Coding the ExtractMText Method: 00:05:00 •Module 44: MultipleObjectExtractor Project - Coding the ExtractBlock Method: 00:05:00 •Module 45: MultipleObjectExtractor Project - Running the Program: 00:15:00 •Module 01: Conclusion: 00:01:00 •Assignment - AutoCAD Programming using VB.NET with Windows Forms: 00:00:00

Overview This comprehensive course on Introduction to Microeconomics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Introduction to Microeconomics comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Introduction to Microeconomics. It is available to all students, of all academic backgrounds. Requirements Our Introduction to Microeconomics is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 25 sections • 28 lectures • 10:36:00 total length •Introduction: 00:02:00 •Ten Principles of Economics: 00:28:00 •Thinking Like an Economist: 00:33:00 •Interdependence and the Gains from Trade: 00:23:00 •The Market Forces of Supply and Demand: 00:24:00 •Elasticity and Its Application: 00:19:00 •Supply, Demand, and Government Policies: 00:30:00 •Consumers, Producers, and the Efficiency of Markets: 00:20:00 •Application: The Costs of Taxation: 00:20:00 •Application: International Trade: 00:32:00 •Externalities: 00:17:00 •Public Goods and Common Resources: 00:11:00 •The Design of the Tax System: 00:18:00 •The Costs of Production: 00:24:00 •Firms in Competitive Markets: 00:23:00 •Monopoly: 00:26:00 •Monopolistic Competition: 00:16:00 •Oligopoly: 00:20:00 •The Markets for the Factors of Production: 00:18:00 •Earnings and Discrimination: 00:21:00 •Income Inequality and Poverty: 00:30:00 •The Theory of Consumer Choice: 00:26:00 •Frontiers of Microeconomics: 00:20:00 •Advanced Topic Class 1: 00:30:00 •Advanced Topic Class 2: 00:30:00 •Advanced Topic Class 3: 00:31:00 •Advanced Topics Class 4: 00:44:00 •Assignment - Introduction to Microeconomics: 00:00:00

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00