Neural Networks from Scratch using Python and Numpy

Overview

Go beyond black boxes! Build Neural Networks from scratch with Python and NumPy.

Master every detail, from neurons to backpropagation, and apply your own library to real-world ML challenges.

Syllabus

• Course 1: Neural Networks Fundamentals: Neurons and Layers
• Course 2: The MLP Architecture: Activations & Initialization
• Course 3: Training Neural Networks: the Backpropagation Algorithm
• Course 4: Building and Applying Your Neural Network Library

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Subjects

Computer Science