Hands-On Machine Learning using JavaScript
•The Course Overview
•Introduction to Machine Learning
•Tour of the JavaScript Machine Learning Landscape
•Setting Up Our Machine Learning Environment
•Understand Regression with Linear Regression
•Understanding How Linear Regression Works
•Predicting Salaries after College Using Linear Regression
•Understand Classification with Logistic Regression
•Classifying Clothes Using Logistic Regression
•Model Evaluation
•Better Measures than Accuracy
•Understanding the Results
•Improving the Models
•What are Support Vector Machines?
•Using SVM Kernels to Transform Problems
•Image Classifier Using SVM
•Making Better Decision with Decision Trees
•Combining Decision Trees to Make Better Predictions
•Predicting Customer Churn Using Random Forests
•Introduction and Advantage of Unsupervised Learning
•Grouping Unlabeled Data in Meaningful Ways Using K-means Clustering
•Using Principal Component Analysis to Speed-up Machine Learning Algorithms
•Analyzing Plant Species Using K-means Clustering
•Introduction to Neural Networks
•How a Neural Network Works
•Neural Networks in Tensorflow.js
•Multiclass Classification Using TensorFlow.js
•Test your knowledge
•Hands-On Machine Learning with TensorFlow.js
•Getting Started with TensorFlow.js Using a Simple Example to Predict Weight
•Types of Supervised Learning
•Applying Regression
•Predicting Salaries after College Using TensorFlow
•Applying Classification
•Predicting Mental Health Issues Using Logistic Regression
•Understanding Simple Neural Networks
•Concepts in Neural Network
•Working with Deep Neural Networks
•Image Classification Using Neural Networks
•Optimizing the Models
•Using High-Level Layers API to Construct Neural Networks
•Building Advanced Neural Networks with Layers Easily
•Detecting Digits Using Layers
•Building A Classifier Using Layers
•Importing a Keras Model into TensorFlow.js
•Saving and Loading TensorFlow Models
•Importing TensorFlow SavedModel into TensorFlow.js
•Playing PAC-MAN Using a Webcam
•Deep Learning Projects with JavaScript
•What Makes Deep Learning in JavaScript Special?
•Getting Started with TensorFlow.js
•Loading Pre-Trained CNN and LSTM Models
•Preparing a New Text for Sentiment Analysis
•Using Loaded Model for Real-Time Text Analysis
•Loading a Set of Pre-Trained CNN Models for Emotion Detection in Photos
•Preparing a New Image for Analysis
•Using Our Models for Photo Emotion Detection
•Loading a Pre-Trained CNN Model for Voice Emotion Detection
•Preparing a New Audio Sample for Analysis
•Using the Loaded CNN Model for Detecting Emotions in Speech
•Create a New Model Based on a Pre-Trained CNN Model
•Getting and Preparing a New Audio Sample for Training and Testing
•Training and Testing the New Model
•Getting and Preparing Audio Sample
•Building a CNN Model for Emotion Detection
•Training and Testing the Model
•Using Trained CNN Model on New Audio Samples
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