MIT Introduction to Deep Learning | 6.S191
Discover the foundations of deep learning with MIT’s 6.S191 course. This lecture covers key concepts like perceptrons, neural networks, and training techniques.
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Neural Networks
Step-by-Step Neural Network Training
Join Andrej Karpathy for a step-by-step guide on neural network training and backpropagation. Understand the core concepts and implement them in Python.
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Understanding Neural Networks: Mechanistic Interpretability Explained
Explore how researchers decode neural networks with mechanistic interpretability. Learn how AI models recognize images and the importance of understanding AI decisions.
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