TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem (English Edition)

Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects

Key Features

Use machine learning and deep learning principles to build real-world projects

Get to grips with TensorFlow's impressive range of module offerings

Implement projects on GANs, reinforcement learning, and capsule network

Book Description

TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem.

To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification.

As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts.

By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work.

What you will learn

Understand the TensorFlow ecosystem using various datasets and techniques

Create recommendation systems for quality product recommendations

Build projects using CNNs, NLP, and Bayesian neural networks

Play Pac-Man using deep reinforcement learning

Deploy scalable TensorFlow-based machine learning systems

Generate your own book script using RNNs

Who this book is for

TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques Table of Contents

Overview of Tensorflow and Machine Learning

Using Machine Learning to detect exoplanets in outer space

Sentiment Analysis in your browser using Tensorflow.js

Digit Classification using Tensorflow Lite

Speech to text and topic extraction using NLP

Predicting Stock Prices using Gaussian Process Regression

Credit Card Fraud Detection using Autoencoders

Generating Uncertainty in Traffic Signs Classifier using Bayesian Neural Networks

Generating Matching Shoe Bags from Shoe Images Using DiscoGANs

Classifying Clothing Images using Capsule Networks

Making Quality Product Recommendations Using TensorFlow

Object detection at a large scale with Tensorflow

Generating Book Scripts Using LSTMs

Playing Pacman using Deep Reinforcement Learning

What is next?

TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem (English Edition) EPUB, PDF, MOBI, AZW3, TXT, FB2, DjVu, Kindle电子书免费下载。