Hands-On Deep Learning with TensorFlow

Uncover what is underneath your data!

Publisher:Packt Publishing Limited

By: Dan Van Boxel

Paid access

|Jan 2025

E-Book €22.99Institutions €119.95

Description

Key Features

Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild-- TensorFlow
Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide
Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environment

Book Description

Dan Van Boxel’s Deep Learning with TensorFlow is based on Dan’s best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.

With Dan’s guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data.

In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond.

What you will learn

Set up your computing environment and install TensorFlow
Build simple TensorFlow graphs for everyday computations
Apply logistic regression for classification with TensorFlow
Design and train a multilayer neural network with TensorFlow
Intuitively understand convolutional neural networks for image recognition
Bootstrap a neural network from simple to more accurate models
See how to use TensorFlow with other types of networks
Program networks with SciKit-Flow, a high-level interface to TensorFlow

Who this book is for

If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural networks, then this book is for you. Some familiarity with C++ or Python is assumed.