Book Image

Machine Learning with TensorFlow 1.x

By : Quan Hua, Saif Ahmed, Shams Ul Azeem
Book Image

Machine Learning with TensorFlow 1.x

By: Quan Hua, Saif Ahmed, Shams Ul Azeem

Overview of this book

Google's TensorFlow is a game changer in the world of machine learning. It has made machine learning faster, simpler, and more accessible than ever before. This book will teach you how to easily get started with machine learning using the power of Python and TensorFlow 1.x. Firstly, you’ll cover the basic installation procedure and explore the capabilities of TensorFlow 1.x. This is followed by training and running the first classifier, and coverage of the unique features of the library including data ?ow graphs, training, and the visualization of performance with TensorBoard—all within an example-rich context using problems from multiple industries. You’ll be able to further explore text and image analysis, and be introduced to CNN models and their setup in TensorFlow 1.x. Next, you’ll implement a complete real-life production system from training to serving a deep learning model. As you advance you’ll learn about Amazon Web Services (AWS) and create a deep neural network to solve a video action recognition problem. Lastly, you’ll convert the Caffe model to TensorFlow and be introduced to the high-level TensorFlow library, TensorFlow-Slim. By the end of this book, you will be geared up to take on any challenges of implementing TensorFlow 1.x in your machine learning environment.
Table of Contents (13 chapters)
Free Chapter
1
Getting Started with TensorFlow

A quick preview

Without even having TensorFlow installed, you can play with a reference implementation of TensorBoard. You can get started here:

https://www.tensorflow.org/tensorboard/index.html#graphs.

You can follow along with the code here:

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/model
s/image/cifar10/cifar10_train.py
.

The example uses the CIFAR-10 image set. The CIFAR-10 dataset consists of 60,000 images in 10 classes compiled by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The dataset has become one of several standard learning tools and benchmarks for machine learning efforts.

Let's start with the Graph Explorer. We can immediately see a convolutional network being used. This is not surprising as we're trying to classify images here:

This is just one possible view of the graph. You can try the Graph Explorer as well. It allows deep...