Advanced NLP using spaCy
Ines MontaniCourse
Deep Learning
35 resources
Deep learning courses assume some Python and basic linear algebra. Practical Deep Learning for Coders from fast.ai starts with working models and explains the theory afterwards, while MIT 6.S191: Introduction to Deep Learning gives a compact overview of the field. StatQuest's neural network videos help with intuition before the math gets heavy.
For more depth, the Deep Learning Specialization, Stanford CS230 and Convolutional Neural Networks for Visual Recognition cover the field topic by topic. NLP learners have Stanford CS 224N and the Hugging Face NLP Course, and Sergey Levine's Deep Reinforcement Learning and David Silver's lectures cover agents that learn from rewards.
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MIT 6.S191: Introduction to Deep Learning
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