TensorFlow Machine Learning Projects

Build 13 real-world projects with advanced numerical computations using the Python ecosystem

Publisher:Packt Publishing Limited

By: Ankit Jain and Amita Kapoor

Paid access

|Sep 2024

E-Book €22.99Institutions €128.95

Description

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

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?

https://github.com/packtpublishing/tensorflow-machine-learning-projects

PDF ISBN: 978-1-78913-240-3

Publisher: Packt Publishing Limited

Publication date: 2024

Language: English

Pages: 322

Related subjects:

Computer sciences,