Shusen Wang - VideoAndMovie

Staff Engineer @ Meta

RL-1G: Summary

3:34

RL-1G: Summary

RL-1F: Evaluate Reinforcement Learning

5:10

RL-1F: Evaluate Reinforcement Learning

RL-1E: Value Functions

8:44

RL-1E: Value Functions

RL-1D: Rewards and Returns

6:43

RL-1D: Rewards and Returns

RL-1C: Randomness in MDP, Agent-Environment Interaction

7:14

RL-1C: Randomness in MDP, Agent-Environment Interaction

RL-1B: State, Action, Reward, Policy, State Transition

8:36

RL-1B: State, Action, Reward, Policy, State Transition

RL-1A: Random Variables, Observations, Random Sampling

8:10

RL-1A: Random Variables, Observations, Random Sampling

Vision Transformer for Image Classification

14:47

Vision Transformer for Image Classification

BERT for pretraining Transformers

15:53

BERT for pretraining Transformers

Transformer Model (2/2): Build a Deep Neural Network (1.25x speed recommended)

23:52

Transformer Model (2/2): Build a Deep Neural Network (1.25x speed recommended)

Transformer Model (1/2): Attention Layers

32:59

Transformer Model (1/2): Attention Layers

Self-Attenion for RNN (1.25x speed recommended)

10:01

Self-Attenion for RNN (1.25x speed recommended)

Attention for RNN Seq2Seq Models (1.25x speed recommended)

24:51

Attention for RNN Seq2Seq Models (1.25x speed recommended)

Few-Shot Learning (3/3): Pretraining + Fine-tuning

27:31

Few-Shot Learning (3/3): Pretraining + Fine-tuning

Few-Shot Learning (2/3): Siamese Networks

23:41

Few-Shot Learning (2/3): Siamese Networks

17-4: Random Shuffle & Fisher-Yates Algorithm

26:37

17-4: Random Shuffle & Fisher-Yates Algorithm

5-2: Dense Matrices: row-major order, column-major order

7:02

5-2: Dense Matrices: row-major order, column-major order

5-1: Matrix basics: additions, multiplications, time complexity analysis

18:03

5-1: Matrix basics: additions, multiplications, time complexity analysis

17-1: Monte Carlo Algorithms

36:01

17-1: Monte Carlo Algorithms

3-1: Insertion Sort

17:39

3-1: Insertion Sort

6-1: Binary Tree Basics

6:31

6-1: Binary Tree Basics

Few-Shot Learning (1/3): Basic Concepts

18:39

Few-Shot Learning (1/3): Basic Concepts

2-3: Skip List

20:40

2-3: Skip List

2-2: Binary Search

10:36

2-2: Binary Search

2-1: Array, Vector, and List: Comparisons

24:01

2-1: Array, Vector, and List: Comparisons