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Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum 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 - Layer Tuning for Smaller Network 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 Multi-Layer Perceptron Model Development 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

During this 2 day course, you will develop a learning-based action plan to use in your workplace ensuring that you can put the learning into action.

During this 2 day course, you will develop a learning-based action plan to use in your workplace ensuring that you can put the learning into action.

During this 2 day course, you will develop a learning-based action plan to use in your workplace ensuring that you can put the learning into action.

Introducing the ultimate bundle for sports enthusiasts and aspiring professionals: the Sports Therapy, Hydrotherapy & Sports Psychology (QLS) bundle! Get ready to dive into a world of knowledge and unlock your potential with eight comprehensive courses designed to take your understanding of sports therapy, hydrotherapy, and sports psychology to new heights. What sets this bundle apart are the three QLS-endorsed courses that come with hardcopy certificates upon completion. These courses have been carefully curated and validated by industry experts, ensuring that you receive the highest standard of theoretical education. No need to worry about missing out on practical skills or hands-on experience-these courses are packed with valuable insights, strategies, and techniques that will equip you with the knowledge to excel in your field. But that's not all! In addition to the QLS-endorsed courses, you'll also gain access to five CPD QS-accredited courses. These courses cover a range of relevant topics, including sports coaching, common sports injuries, sports medicine fundamentals, sports nutrition, and functional skills in fitness. With this comprehensive bundle, you'll acquire a well-rounded understanding of the key aspects that contribute to success in the world of sports therapy and psychology. Imagine being able to confidently analyse and treat sports injuries, implement effective fitness and nutrition strategies, and understand the psychological factors that drive athletes to perform at their best. Whether you're an aspiring sports therapist, coach, or simply passionate about the field, this bundle is your gateway to a wealth of knowledge that will set you apart from the competition. Expand your horizons, enhance your career prospects, and become an invaluable asset in the world of sports therapy, hydrotherapy, and sports psychology. Enrol in the Sports Therapy, Hydrotherapy & Sports Psychology (QLS) bundle today and embark on an exciting journey of discovery and growth. Don't miss out on this opportunity to fuel your passion and take your skills to the next level! Key Features of the Sports Therapy, Hydrotherapy & Sports Psychology (QLS) Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Sports Therapy, Hydrotherapy & Sports Psychology (QLS) bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Sports Therapy QLS Course 02: Hydrotherapy QLS Course 03: Sports Psychology 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Sports Coaching: Fitness & Nutrition Course 02: Sports Therapy: Common Sports Injuries Course 03: Sports Medicine Fundamentals Course 04: Sports Nutrition Course Course 05: Functional Skills - Fitness In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Sports Therapy, Hydrotherapy & Sports Psychology (QLS) courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of sports therapy principles, including injury assessment, rehabilitation techniques, and therapeutic modalities. Acquire in-depth knowledge of hydrotherapy and its application in sports injury management, including immersion techniques, hydrostatic pressure, and resistance exercises. Develop a solid foundation in sports psychology, exploring the psychological factors that influence athletic performance, motivation, and mental skills training. Learn effective sports coaching strategies encompassing fitness and nutrition principles, goal setting, and athlete development. Identify and evaluate common sports injuries, understanding their causes, symptoms, and appropriate treatment approaches. Familiarize yourself with the fundamentals of sports medicine, including biomechanics, exercise physiology, and the role of sports nutrition in optimising performance. Enhance your functional skills in fitness, encompassing core strength, flexibility, endurance, and overall physical fitness. Discover the fascinating world of sports therapy, hydrotherapy, and sports psychology with our comprehensive bundle. Through a series of carefully curated courses, you'll explore the theoretical foundations of these fields, empowering you with the knowledge to excel in sports-related disciplines. With three QLS-endorsed courses, each accompanied by a hardcopy certificate, and an additional five CPD QS-accredited courses, this bundle provides a comprehensive understanding of key principles and practices. Dive deep into sports coaching, injury assessment and rehabilitation, sports psychology, hydrotherapy techniques, and more. Expand your horizons, boost your career prospects, and unleash your potential in the realm of sports therapy and psychology. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring sports therapists looking to gain a strong theoretical foundation in the field. Sports coaches seeking to enhance their knowledge of injury management, sports psychology, and fitness and nutrition principles. Fitness enthusiasts interested in understanding the theoretical underpinnings of sports therapy and psychology. Individuals passionate about the sports industry and keen to explore the theoretical aspects of sports medicine and rehabilitation. Career path Sports Therapist: £20,000 - £40,000 per year Sports Coach: £18,000 - £35,000 per year Fitness Instructor: £14,000 - £30,000 per year Rehabilitation Specialist: £25,000 - £45,000 per year Sports Nutritionist: £20,000 - £40,000 per year Sports Psychology Consultant: £30,000 - £60,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access