How to get started with deep learning and determine a direction for Master's year 0 and year 1 students
17:23
Deep Learning: From Zero Environment Setup to Reproducing and Running Code (The Most Realistic Environment Setup Online, Full of Unexpected Issues), Definitely Not Pre-Configured. Step-by-Step Tutorial. You Will Understand.
47:46
Beginner's Guide to Deep Learning Remote GPU Connection
22:29
How to quickly find papers and reproduce code for pre-Master's and first-year Master's students
22:15
How Can Master's Students (Pre-Year 1 and Year 1) Quickly Find Innovative Points in Deep Learning? [Theoretical Part]
16:12
A Beginner's Guide to Reproducing Code from a Deep Learning Paper Step by Step
33:03
Deep learning dataset construction, detailed labeling tutorial
30:12
Deep learning network stitching module, module stitches modules. Explained from a beginner's perspective with code. Step-by-step guide to stitching (the most detailed tutorial online)
38:00
How to get the deep learning module series compiled by Larry?
02:23
Supplementary knowledge on deep learning stitching modules (dimensional transformation)
40:25
How to load pre-trained weights after modifying the network structure in deep learning?
21:23
When should hyperparameter tuning in deep learning be performed? Overfitting, underfitting?
45:32
In deep learning, model visualization, feature map visualization, CAM heatmap visualization
28:23
Original deep learning module, ready to use for publishing papers directly!
15:52
Deep Learning - Model Parameter Reduction (Convolution Replacement)
14:53
Deep Learning - How to Package Papers and Modules (Using Our Own SCI Zone 3 Paper as an Example)
28:36
Can’t even understand code? Copy-paste can still run YOLOv8 object detection!
42:36
The paper is written, how exactly to submit it? How to submit to journals and conferences? A beginner's guide to teach you how to submit.
22:03
Reject complex software! I draw all my academic model diagrams in PPT!
19:35
Module stitching → Thesis narrative expression: how to weave it into a complete story
37:03
Comparative experiment vs ablation experiment – Should we rerun others' models?
15:33
How to read a research paper? Practical guide!
26:28
From 0 to 1: How Deep Learning Graduate Students Can Write Their First Publishable Paper
10:04
Common operations for writing papers with Overleaf and LaTeX
22:08
In 2026, where exactly do research innovations come from?
27:58
How exactly should one interpret the code in the paper?
20:43
Graduate student can't reproduce the paper's code? Use Codex to run GitHub projects.
13:22
Times have changed! Now you don’t have to struggle through reading papers.
08:58
Starting AI research from scratch, what exactly do you need to know first?
