Implement Tensor Flow’s offerings such as Tensor Board, Tensor Flow.js, Tensor Flow Probability, and Tensor Flow Lite to build smart automation projects
Key Features
- Use machine learning and deep learning principles to build real-world projects
- Get to grips with Tensor Flow’s impressive range of module offerings
- Implement projects on GANs, reinforcement learning, and capsule network
Book Description
Tensor Flow has transformed the way machine learning is perceived. Tensor Flow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using Tensor Flow 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 Tensor Flow ecosystem.
To start with, you’ll get to grips with using Tensor Flow for machine learning projects; you’ll explore a wide range of projects using Tensor Forest and Tensor Board for detecting exoplanets, Tensor Flow.js for sentiment analysis, and Tensor Flow 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 Tensor Flow on Spark API and GPU-accelerated computing with Tensor Flow 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 Tensor Flow 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 Tensor Flow-based machine learning systems
- Generate your own book script using RNNs
Who this book is for
Tensor Flow 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 Tensor Flow. 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
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