Lec5
Training Neural Networks II: Weight Initialization(Activation Statistics, Xavier Initialization, Kaiming / MSRA Initialization, Residual Networks…), Overfits, Regularization, Regularization, Data Augmentation
Training networks
Lec2
Introduction of Neural Networks I,Deep Neural Networks, Activation Fuctions
Neural networks
Lec3
Introduction of Neural Networks II,Universal Approximation, Convex Fuctions.
5 Video & PDF
https://cs140.stanford.edu/lectures/week2.pdf
This week introduces fundamental data structures like arrays and linked lists, along with basic algorithms for searching and sorting.
Data StructuresAlgorithmsArraysLinked ListsSearchingSorting
1
2
https://web.engr.oregonstate.edu/~budd/Books/jds/jds.html
Learn about linked lists, a dynamic data structure that allows for efficient insertion and deletion of elements. Explore different types of linked lists, including singly and doubly linked lists.
Linked ListsSingly Linked List
https://www.youtube.com/watch?v=FzbVzGnVBB4&list=PLx38hZJ5RLZfGvoAwnOcoJe-rTXuqRoOK&index=2&pp=iAQB
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