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.
1 Video & PDF
https://cs50.harvard.edu/x/2023/weeks/3/
Delve into the world of algorithms, exploring common searching and sorting techniques. You'll learn how to analyze algorithm efficiency and choose the right algorithm for the task.
AlgorithmsSearchingSortingBig O Notation
2 Video & PDF
Explore string manipulation and problem-solving techniques like guess and check, approximations, and bisection.
PythonString ManipulationAlgorithms
Explore fundamental algorithms for searching and sorting data.
1
PythonAlgorithmsSorting
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
2
Delve into the world of algorithms, exploring concepts like searching, sorting, and computational complexity. You'll learn how to design and analyze efficient algorithms to solve computational problems.
AlgorithmsSearchingSortingComputational Complexity
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