![]() ![]() Some of the top platforms used in the industry include Caffe, Theano, and Torch. The current decade is incredibly exciting for data scientists. Computing power has made the required horsepower available to small businesses and even individuals. Training data, the lifeblood of machine learning, has become widely available and easily consumable in recent years. The proliferation of large public datasets, inexpensive GPUs, and open-minded developer culture has revolutionized machine learning efforts in recent years. Today, we shall explore the basics of getting started with TensorFlow, its installation and configuration process. This book will help tackle common commercial machine learning problems with Google’s TensorFlow 1.x library. ![]() This article is taken from the book Machine Learning with Tensorflow 1.x, written by Quan Hua, Shams Ul Azeem and Saif Ahmed. ![]()
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