savarin/neural-networks
practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016
This tutorial helps data scientists and machine learning engineers quickly learn to train neural networks. It covers foundational concepts and practical applications, using real-world datasets like Titanic, MNIST, and Rotten Tomatoes to demonstrate techniques like CNNs and RNNs. You'll start with raw data and learn to build models that can classify images or predict outcomes.
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Use this if you are a developer looking for a practical, hands-on introduction to building and training neural networks using Keras and TensorFlow.
Not ideal if you are looking for a deep theoretical dive into neural network architectures or advanced topics beyond an introductory level.
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Mar 24, 2023
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