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AI, Machine Learning & Data

Machine learning & deep learning

Machine learning & deep learning sits within AI, Machine Learning & Data. Look at the relationship between models, data, demonstrations, and claims about intelligent behavior. This selection contains 131 catalog videos from 92 distinct channels. The examples below offer specific entry points into the subject, with their own vocabulary and scope, rather than a prescribed sequence of lessons.

Recurring catalog topics include deep learning, neural networks, machine learning, reinforcement learning, computer vision and transformers. These tags describe overlapping directions within the collection; an individual video may connect several of them. Recorded formats include comedy, commentary, course, demo, documentary, explainer, interview, lecture, news, other, podcast, talk and tutorial. Use those differences to choose between approaches to the subject and to compare how different contributors frame related questions.

“The spelled-out intro to neural networks and backpropagation: building micrograd”, listed under Andrej Karpathy, is cataloged as lecture. Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only…

131 videos