cookeem/TensorFlow_learning_notes
tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》
This project provides learning notes and executable Python 3 code examples for understanding how to build deep learning models using TensorFlow. It covers fundamental concepts like neural network layers, activation functions, loss functions, optimizers, and techniques for improving model performance. The notes are organized by chapter, providing a practical guide for those looking to grasp core machine learning principles and implement them with TensorFlow.
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Use this if you are a developer looking for a practical, code-focused guide to learn and implement deep learning concepts with TensorFlow and Python 3.
Not ideal if you are a non-developer seeking high-level explanations without diving into code, or if you prefer a framework other than TensorFlow.
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Oct 12, 2017
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