adeshpande3/Tensorflow-Programs-and-Tutorials
Implementations of CNNs, RNNs, GANs, etc
This collection of tutorials helps you understand how deep learning models work and how to implement them. You'll learn by working through examples that take raw data, like images or text, and produce classifications, generated text, or other analytical outputs. It's designed for anyone learning about neural networks and their applications.
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Use this if you are a student, researcher, or practitioner looking to learn the practical implementation details of various deep learning models, from basic neural networks to more advanced GANs and RNNs.
Not ideal if you need a plug-and-play solution for a specific problem or a high-level library abstraction, as these tutorials focus on foundational understanding and direct TensorFlow implementation.
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