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Introduction to Deep Learning#1 · about 11 minMathematical Foundations I (Linear Algebra)#2 · about 16 minMathematical Foundations II (Probability & Information Theory)#3 · about 15 minTraining Neural Networks: Core Concepts#4 · about 15 minOptimization Techniques#5 · about 14 minDimensionality Reduction & Autoencoders#6 · about 15 minRegularization and Training Tricks#7 · about 18 minWeight Initialization & Training Improvements#8 · about 16 minWord & Sequence Representation#9 · about 15 minConvolutional Neural Networks (CNNs)#10 · about 9 minRecurrent Neural Networks (RNNs) & Sequence Models#11 · about 16 minTransformers & Modern Sequence Modeling#12 · about 15 minDeep Generative Models: VAEs, GANs, and Diffusion Models#13 · about 22 minGraph Neural Networks: The Hop Budget#14 · about 23 minDeep Reinforcement Learning: Explore, Then Pay#15 · about 28 minTransfer Learning: The Donor Floor#16 · about 26 min
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Courses›Deep Reinforcement Learning: Explore, Then Pay

Deep Reinforcement Learning: Explore, Then Pay

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Deep Reinforcement Learning: Explore, Then Pay

Deep Learning Lesson 15: Deep Reinforcement Learning: Explore, Then Pay

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