TensorFlow is an open-source software library for Deep Learning originally developed by the Google Brain Team. Released in November 2015, TensorFlow has been rapidly gaining adoption in both the industry and academia and has been put to use in many successful projects at Google such as translation, speech to text, Gmail smart reply, etc. The platform provides a rich library of algorithms and utilities for data science, as well as essential developer tools.
In this hand-on programming class, we will begin with a quick overview of TensorFlow and a fun demo. Then we will dive into key programming concepts and code two Deep Learning models for the MNIST problem. Since the domain is image classification, we will describe the relevant algorithms (convolution, softmax) and walk through the thought process in designing a neural network. We will also put to use the developer tools: tfdbg for debugging and TensorBoard for visualization.
To prepare for the class, please install TensorFlow and Python on your laptop. You can find instructions on the site https://www.tensorflow.org/install/
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