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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

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

If you want to achieve a Level-5 Ofqual UK-Government Regulated TESOL certification in the most effective, time-saving and enjoyable way, embark on a thrilling learning adventure in TEFL Wonderland. Unlike the click-and-read TEFL courses, this play-and-practice expedition will engage all your senses and keep you motivated to achieve your learning mission.

Level 7 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Get hands-on and learn to build a full-stack app using React.js as the frontend and its web API for the backend

Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.

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Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Getting Things Started (What You'll Learn From This Course!) Introduction 00:05:00 Why Adhders Learn Differently & How To Harness It (Plus A But Of Neuropsych!) Why Us ADHDers Learn Differently 00:10:00 How To Tame The Last Minute Monster (The Cordrenaline Effect) What is The Cordrenaline Effect & How Does It Run My Life 00:08:00 Unit 3b - Mastering The Last Minute Effect. Wmv 00:09:00 How To Learn Class Context To Ace Those Exams! (Plus Some Mind Mapping Action) Mindmaps & The Importance of Learning Relationships/Context in Class 00:08:00 The Super Student Method for Those Med School Grades (Only for Super Keeners) 00:09:00 How To Memorize For Class - The ADHD Way! Class Memorization & Flashcards 00:04:00 Quick Mnemonics for Memorization 00:04:00 Avoiding Slide At All Costs (Aka The Source of All Our Problems) Avoiding Slide At All Costs (Aka The Source of All Our Problems) 00:04:00 Building An ADHD-Certified Accountability System - THAT DOESN"T SUCK! Building an ADHD-Certified Accountability System 00:05:00 How To Study For Exams - The ADHD Way! How to Study for Exams - The ADHD Way! 00:06:00 Figure Out Your Procrastination Type, Then Dance On Its Grave! Figure Out & Outsmart Your Procrastination Style 00:07:00 How To Start Anything Boring! (The 2 Part Break Method) How to Start Anything Boring! (The 2 Part Break Method) 00:04:00 Some Quick Study Tricks To Implement Right Away! Quick Study Tricks Pt 1 00:06:00 Quick Study Tricks Pt 2 00:06:00 Understanding Accessing Accommodations (The Portal To Success!) Accommodations & Why You Need Them To Free Your Intellect 00:07:00 Supplementary Resources Supplementary Resources - ADHD Study Skills For High School, College, & Grad School 00:00:00 Final Assessment Assessment - ADHD Study Skills For High School, College, & Grad School 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Python is one of the most useful programming languages to learn. You can learn back-end of web applications, games, in-house scripts, and even build a robust test automation framework.