levendlee

Stay humble. Stay hungry. Stay foolish.

Category: Machine Learning

Reading Notes – 9

June 11 · 25

Machine Learning, Reading
Reading Notes – 8

August 21 · 24

Machine Learning, Reading
Reading Notes – 7

May 3 · 24

Machine Learning, Reading
Reading Notes – 6

April 25 · 24

Machine Learning, Reading
Reading Notes – 5

April 7 · 24

Machine Learning, Reading
Reading Notes – 4

April 2 · 24

Machine Learning, Reading
Reading Notes – 3

March 25 · 24

Machine Learning, Reading
Reading Notes – 2

March 11 · 24

Machine Learning, Reading
Unit 8. Proximal Policy Optimization (PPO)

January 8 · 24

Deep Reinforcement Learning Intro, Machine Learning
Unit 6. Actor-Critic Method

January 7 · 24

Deep Reinforcement Learning Intro, Machine Learning
Unit 4. Policy-Gradient Method

January 1 · 24

Deep Reinforcement Learning Intro, Machine Learning
Unit 1-3. Deep Reinforcement Learning & Q-Learning

December 31 · 23

Deep Reinforcement Learning Intro, Machine Learning
JAX Notes

December 30 · 23

Machine Learning
Generative AI with Large Language Models 3/3

December 28 · 23

Generative AI with LLM, Machine Learning
Generative AI with Large Language Models 2/3

December 27 · 23

Generative AI with LLM, Machine Learning
Triton Notes (1)

September 13 · 23

Computer Science, High Performance Computing, Machine Learning
Generative AI with Large Language Models 1/3

September 12 · 23

Generative AI with LLM, Machine Learning
Reading Notes – 1

November 15 · 20

Machine Learning, Reading
TensorRT Note (2)

June 26 · 20

Computer Science, High Performance Computing, Machine Learning
Lecture 12 Recurrent Networks (1/5)

June 20 · 20

Introduction to Deep Learning, Machine Learning
TensorRT Note (1)

June 2 · 20

Computer Science, High Performance Computing, Machine Learning
Tensorflow Note

May 25 · 20

Machine Learning
Lecture 11 Convolutional Neural Networks (3/3)

May 25 · 20

Introduction to Deep Learning, Machine Learning
Lecture 10 Convolutional Neural Networks (2/3)

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 9 Convolutional Neural Networks (1/3)

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 8 Batch Normalization, Dropout and other Regularization methods

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 7 Acceleration, Regularization and Normalization

May 18 · 20

Introduction to Deep Learning, Machine Learning
Lecture 6 Convergence, Loss Surfaces, and Optimization

April 7 · 20

Introduction to Deep Learning, Machine Learning
Lecture 5 Convergence, Learning Rates, and Gradient Descent

March 25 · 20

Introduction to Deep Learning, Machine Learning
Lecture 4 Learning the network: Backprop

March 23 · 20

Introduction to Deep Learning, Machine Learning
Lecture 3 Learning, Empirical Risk Minimization, and Optimization

January 11 · 20

Introduction to Deep Learning, Machine Learning
Lecture 2 The Universal Approximation Theorem

January 9 · 20

Introduction to Deep Learning, Machine Learning
Lecture 1 The Perceptron

January 8 · 20

Introduction to Deep Learning, Machine Learning
Note 4 – Feasibility of Learning

January 8 · 20

Machine Learning, Machine Learning Foundations
Note 3 – Types of Learning

December 21 · 19

Machine Learning, Machine Learning Foundations
Note 2 – Learning to Answer Yes/No

December 17 · 19

Machine Learning, Machine Learning Foundations
Note 1 – The Learning Problem

December 17 · 19

Machine Learning, Machine Learning Foundations