Neural Networks
The basics of neural networks, and the math behind how they learn
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But what is a Neural Network?An overview of what a neural network is, introduced in the context of recognizing hand-written digits.Chapter 1Oct 5, 2017
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Gradient descent, how neural networks learnAn overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.Chapter 2Oct 16, 2017
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Analyzing our neural networkChapter 3Oct 16, 2017
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What is backpropagation really doing?An overview of backpropagation, the algorithm behind how neural networks learn.Chapter 4Nov 3, 2017
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Backpropagation calculusThe math of backpropagation, the algorithm by which neural networks learn.Chapter 5Nov 3, 2017
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But what is a GPT? Visual intro to Transformers | Deep learning, chapter 5A visual introduction to transformers. This chapter focusses on the overall structure, and word embeddingsApr 1, 2024
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Visualizing Attention, a Transformer's Heart | Chapter 6, Deep LearningDemystifying attention, the key mechanism inside transformers and LLMs.Apr 7, 2024