insert image description here

2021&2022 courses

Important notice

In order to facilitate the real-time update and maintenance of all online course materials and high-quality e-books, create an online real-time network disk folder ;

network disk access method: public account [Graduate student who knows everything] -> reply [05] -> read the original text ;

UP Organize and pack all the materials for 2021&2022&2023 , the online disk can meet all the needs of the materials required for the course ;

the link will be suspended and any notification will be updated in time, I wish you all a smooth study, and thank you again for the authorization of Mr. Li Hongyi ;

Other projects I maintain

|2023/04/02|Update assignment 6|

course address

project	content
video collection	[Authorization] Li Hongyi's 2023 spring machine learning course (strongly recommended) Li Hongyi's 2021/2022 spring machine learning course
Course Home Page	Li Hongyi Spring 2023 Machine Learning Li Hongyi Spring 2022 Machine Learning Li Hongyi Spring 2021 Machine Learning
Station B Homepage/Public Account	Graduate student who knows a little about everything
Artificial Intelligence Technology Discussion Group	QQ group 1: 78174903 QQ group 3: 584723646

Course Materials Direct Link

Topic	Course content	Extended application content	elective content
Correct understanding of ChatGPT	Machine Learning 2023 Rules Explains slides ChatGPT Principle Analysis (1/3) — Common Misconceptions about ChatGPT slides ChatGPT Principle Analysis (2/3) — Pre-training (Pre-train) slides ChatGPT Principle Analysis (3/3) — ChatGPT brought Coming research question slides Play text adventure game with ChatGPT and Midjourney slides	How ChatGPT was (possibly) made	Introduction of Deep Learning Backpropagation Predicting Pokémon CP Pokemon classification Logistic Regression
Introduction to Basic Concepts of Machine Learning	[Generative AI] Quickly understand the basic principles of machine learning (1_2) slides [Generative AI] Quickly understand the basic principles of machine learning (2_2) slides [Generative AI] Two strategies for generative learning: one by one or one by one Slides in place [Generative AI] AI that can use tools: New Bing, WebGPT, Toolformer slides	Brief Introduction of Deep Learning Gradient Descent Backpropagation	Convolutional Neural Network Self-Attention Mechanism
How machines generate sentences	slides [Generative AI] Finetuning vs. Prompting: Two types of usage derived from different expectations of large language models (1_3) [Generative AI] Finetuning vs. Prompting: Two types of usage derived from different expectations of large language models Usage (2_3) [Generative AI] Finetuning vs. Prompting: Two types of usage derived from different expectations for large language models (3_3)	Self-supervised Learning (Self-supervised Learning) (2) – Introduction to BERT Self-supervised Learning (Self-supervised Learning) (4) – GPT’s ambition	AACL 2022 Tutorial: Recent Advances in Pre-trained Language Models:Why Do They Work and How to Use Them
How Machines Generate Images	slides slides [Large model + big data = amazing results? (1_3): Big Model's Aha Moment Big Model + Big Data = Amazing Results? (2_3): How much data is needed for a large model + large data = amazing results? (3_3): Another way - KNNLM GPT-4 is here! What magical abilities does GPT-4 have this time?	Self-supervised Learning (Self-supervised Learning) (2) – Introduction to BERT Self-supervised Learning (Self-supervised Learning) (4) – GPT’s ambition	AACL 2022 Tutorial: Recent Advances in Pre-trained Language Models:Why Do They Work and How to Use Them
Various issues of generative learning: diversity, assessment methods, other challenges	[Generative AI] A quick look at the common models of image generation slides Talking about the principle of image generation model Diffusion Model slides The common routine behind Stable Diffusion, DALL-E, and Imagen slides	Variational Auto-encoder (VAE) Flow-based Generative Model Generative Adversarial Network (GAN)
quantum machine learning

Coursework Direct Link

	Topic	Explanation video	lecture notes	the code	platform
x	Collab Tutorial	Video	slide	code
x	PyTorch Tutorial	Video	slide 1 slide 2	x	x
HW1	Regression	Video	slide	code	Kaggle
HW2	Classification	Video	slide	code	Kaggle
HW3	CNN	Video	slide	code	Kaggle
HW4	Self-attention	Video	slide	code	Kaggle
HW5	Transformer	Video	slide	code	Judge Boi
HW6	Generative Model	Video	slide	code	Judge Boi

Other quality courses

name	Link
(HD remake) MIT 18.06 Linear Algebra	video address
(Strong push) Python five-step object-oriented programming - from zero to employment	video address
[Taught by Wu Enda] Artificial intelligence courses for everyone (Chinese characters)	video address
(Strong push double word) Netease version Wu Enda machine learning course	video address
(Strong push double word) 2022 Wu Enda machine learning Deeplearning.ai course	video address
(Strong push double word) 2018 autumn CS229 machine learning-official HD version	video address
(Strongly push double words) 2021 version of Wu Enda's deep learning course Deeplearning.ai	video address
(Strong push) Zhejiang University - Machine Learning	video address
Thorough understanding of "Statistical Learning Methods"	video address
BIT-Python data analysis and display-Numpy, Matplotlib, Pandas	video address
Teaching Pytorch Neural Network Programming for Beginners	video address
(Strong push) Pytorch deep learning practical teaching	video address
(Strong push) TensorFlow official introductory practical course	video address
【North Node】Image Processing and Machine Learning	video address
Zero-based OpenCV4-C++ minimalist entry	video address
(Full) Python-based Opencv project combat	video address
(Strong push) The latest Stanford CS231n computer vision course	video address

Li Hongyi 2023 spring machine learning course

Table of contents

2021&2022 courses

Important notice

Other projects I maintain

course address

Course Materials Direct Link

Coursework Direct Link

Other quality courses

Guess you like