Deep Learning and Neural Networks

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Deep Learning from Scratch: Building Neural Networks with Python

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This document is based on Seth Weidman's book Deep Learning from Scratch, which offers a hands-on, intuitive approach to understanding and implementing deep learning algorithms without relying on high-level libraries like TensorFlow or Keras. It walks readers through the mathematical foundations of neural networks and guides them in building models from the ground up using only Python and NumPy. Key topics covered include: The theory behind neural networks and deep learning Forward a...

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by emmanuelkiriinya •
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Deep Learning with Python: A Practical Guide to Neural Networks and TensorFlow

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his document offers a comprehensive introduction to deep learning using Python, with a strong focus on practical implementation through TensorFlow and Keras. It covers foundational concepts such as artificial neural networks, convolutional neural networks (CNNs), and training techniques. Ideal for beginners and intermediate learners, the guide includes code examples, visualizations, and step-by-step explanations to help readers build and understand deep learning models from scratch.

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• 386 pages's •
by emmanuelkiriinya •
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Deep Learning and Neural Networks • Deep Learning and Neural Networks