I like to think of neural networks as a collection of simple models (like logistic regression) working together to solve complex tasks. I hope this perspective helps you better understand the complex landscape of neural networks!!
Related videos on Logistic Regression and Gradient Descent:
https://youtu.be/cQW_DV2nr-s
https://youtu.be/smLdMzVlmyU
https://youtu.be/EKbFIWANwHw
00:00 - 01:00 Intro
01:00 - 11:15 Review of Logistic Regression
11:15 - 20:56 Chapter 1 (Idea & Intuition)
20:56 - 21:55 Chapter 1 Recap
21:55 - 32:47 Chapter 2 (Computational Limitations)
32:47 - 33:44 Chapter 2 Recap
33:44 - 40:44 Chapter 3 (Kickstarting the Learning Process)
40:44 - 41:46 Chapter 3 Recap
41:46 - 50:52 Chapter 4 (Beyond Logistic Regression)
50:52 - 51:46 Chapter 4 Recap
51:46 - 52:50 Final Thoughts
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