oldclesleycode/deep-learning-python
Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
This project offers an introduction to Deep Learning for those curious about its practical applications. It explains what neural networks are, how they process information (inputs like images or data, outputs like classifications), and introduces different types such as feedforward, convolutional, and recurrent networks. It's intended for individuals, like aspiring data scientists or researchers, who want to understand the foundational concepts and build simple deep learning models using Python.
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Use this if you are new to deep learning and want to grasp the core concepts of neural networks and how to implement them in Python.
Not ideal if you are an experienced deep learning practitioner looking for advanced research topics or production-ready code examples.
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Last pushed
Sep 01, 2017
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