About Course
Deep Learning (DL)
One of the most in-demand skills in AI is DL. You will study the fundamentals of DL, how to construct neural networks, and how to lead successful machine learning projects in this course. Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and other topics will be discussed.
Course Content
Deep Learning
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Lecture 1 – Class Introduction and Logistics
00:00 -
Lecture 2 – Deep Learning Intuition
00:00 -
Lecture 3 – Full-Cycle Deep Learning Projects
00:00 -
Lecture 4 – Adversarial Attacks / GANs
00:00 -
Lecture 5 – AI + Healthcare
00:00 -
Lecture 6 – Deep Learning Project Strategy
00:00 -
Lecture 7 – Interpretability of Neural Network
00:00 -
Lecture 8 – Career Advice / Reading Research Papers
00:00 -
Lecture 9 – Deep Reinforcement Learning
01:20:19 -
Lecture 10 – Chatbots / Closing Remarks
00:00
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