Deep Learning Projects with JavaScript [Video]

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Deep Learning Projects with JavaScript [Video]

Jakub Konczyk

Sunday, December 30, 2018

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Learn how to do text sentiment analysis and detect emotions in people's portraits and their voices using TensorFlow.js

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Video Details

ISBN 13 9781789950908

Course Length 2 hours 13 minutes

Easy to Use Deep Learning Tools at Your Fingertips

The Course Overview

What Makes Deep Learning in JavaScript Special?

Getting Started with TensorFlow.js

Text Sentiment Analysis

Loading Pre-Trained CNN and LSTM Models

Preparing a New Text for Sentiment Analysis

Using Loaded Model for Real-Time Text Analysis

What You See Is What You Get – Photo Emotion Detection

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

You Sound Happy – Speech 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

Improving Speech Emotion Detection Using Transfer Learning

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

Training Speech Emotion Detection Model From Scratch

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

Video Description

Getting started with Deep Learning seems overwhelming with so many options to choose from, so you might be wondering where to start, which tools to choose, and how to actually set them up? The good news is that you already have the key tool in front of you: your web browser with a powerful JavaScript engine inside it. And when you add the TensorFlow.js library to this combo, you can use Deep Learning methods via JavaScript in no time.

In this course, you will through the process of getting started with TensorFlow.js to detect emotions with a lot of different types of data. You will start by learning how to build a deep learning tool to judge whether a piece of text is positive or negative. Since you will want tangible results quickly, you will use a pre-trained model to do that and include it into your own web application. You will move on to learn how to detect human emotions based only on pictures and voices using pre-trained models as well. Towards the end, you will learn how to modify a pre-trained model to train the emotional detector from scratch using your own data.

By the end of this course you will know how to use Deep Learning models and train your own models from the ground up using JavaScript and the TensorFlow.js library.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Deep-Learning-Projects-with-JavaScript

Style and Approach

This course will teach you how to use Deep Learning methods in JavaScript and how to apply them to your own website or web application.

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What You Will Learn

Get started with Deep Learning quickly, without installing anything
Use Deep Learning methods in practice on realistic datasets
Get results fast using pre-trained models
Improve your results using transfer learning
Learn when it's a good idea to train your own model from scratch and what do you need to know to do that correctly

Authors

Jakub Konczyk

Jakub Konczyk has enjoyed programming professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share his knowledge with others. He first discovered Machine Learning when he was trying to predict real estate prices in one of the early stage startups he was involved in. He failed miserably. Then he discovered a much more practical way to learn Machine Learning that he would like to share with you in this course. It boils down to the Keep it simple! mantra. Learn more at https://kubakonczyk.com/dlcv/.

Easy to Use Deep Learning Tools at Your Fingertips

The Course Overview

What Makes Deep Learning in JavaScript Special?

Getting Started with TensorFlow.js

Text Sentiment Analysis

Loading Pre-Trained CNN and LSTM Models

Preparing a New Text for Sentiment Analysis

Using Loaded Model for Real-Time Text Analysis

What You See Is What You Get – Photo Emotion Detection

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