Hands-On Deep Learning with TensorFlow

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

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.