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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
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Career path Level 5 British Cleaning Certificate Course Online This Level 5 British Cleaning Certificate Course will lead to a variety of career opportunities, some of which are listed below: Cleaner: £9.00 per hour Custodian: £12.00 per hour Housekeeper: £12.00 per hour Janitor: £10.00 per hour
Entry Level Award in Dog Training and Husbandry (Entry 3) Course Online This Entry Level Award in Dog Training and Husbandry (Entry 3) aims to provide candidates with the knowledge and understanding required to pursue a career in canine care. Learners will understand the fundamentals of canine anatomy, physiology, and behaviour and will be able to provide physical enrichment for canines in their care. This Entry Level Award in Dog Training and Husbandry (Entry 3) course begins with fundamental knowledge of Dog Training and Husbandry and progresses to share expert knowledge. This course will provide you with a comprehensive understanding of Dog Training and Husbandry, including key concepts, strategies for using it, and in-depth knowledge. The Entry Level Award in Dog Training and Husbandry (Entry 3) is completely online. With a smart device and the internet, you can access this Entry Level Award in Dog Training and Husbandry (Entry 3) course from anywhere in the world. This Entry Level Award in Dog Training and Husbandry (Entry 3) Course is made up of a series of easy-to-digest, in-depth modules that will provide you with a detailed, expert level knowledge. This course will help you improve your CV, impress potential employers, and differentiate yourself from the crowd. Now is the time to enrol in this Entry Level Award in Dog Training and Husbandry (Entry 3) Course and learn from the best in the field! Learning Outcomes After completing this Entry Level Award in Dog Training and Husbandry (Entry 3) Course, learner will be able to: Gain a thorough understanding of how to care for a dog Gain in-depth knowledge about dog anatomy, physiology and behaviour Understand canine first aid Understand dog sports Understand Dog Training Methods. Why choose this Entry Level Award in Dog Training and Husbandry (Entry 3) Course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Entry Level Award in Dog Training and Husbandry (Entry 3) Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Entry Level Award in Dog Training and Husbandry (Entry 3) Course. Main Course: Entry Level Award in Dog Training and Husbandry (Entry 3) Course Free Courses Course 01: level 5 Animal care course Course 02: Dog First Aid Course 03: Level 5 Animal Care & Nutrition [ Note: Free PDF certificate as soon as completing Entry Level Award in Dog Training and Husbandry (Entry 3) Course] Entry Level Award in Dog Training and Husbandry (Entry 3) Course Online Course Curriculum of Entry Level Award in Dog Training and Husbandry (Entry 3) Course Module 01: Caring for a dog Module 02: Dog Anatomy, Physiology and Behaviour Module 03: Canine First Aid Module 04: Dog Sports Module 05: Dog Training Methods Assessment Method of Entry Level Award in Dog Training and Husbandry (Entry 3) Course After completing each module Entry Level Award in Dog Training and Husbandry (Entry 3) Course, you will get MCQ quizzes to assess your learning. You will move through the later modules upon successful completion (60% correct answer at least) of the quiz test. 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Requirements Entry Level Award in Dog Training and Husbandry (Entry 3) Course Online To enrol in this Entry Level Award in Dog Training and Husbandry (Entry 3) Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Entry Level Award in Dog Training and Husbandry (Entry 3) Course. Be energetic and self-motivated to complete our Course. Basic computer Skill is required to complete our Entry Level Award in Dog Training and Husbandry (Entry 3) Course. If you want to enrol in our Entry Level Award in Dog Training and Husbandry (Entry 3) Course, you must be at least 15 years old. Career path Entry Level Award in Dog Training and Husbandry (Entry 3) Course Online This Entry Level Award in Dog Training and Husbandry course will lead you to many different career opportunities, here are few prospects: Dog Trainer - £23,349 per year Dog sitter - £24,000 per year Dog Behaviorist Counsellor - £25,000 per year
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Level 3 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access