Close
Top Videos
Top Searches
Moods
Black Lives Matter
Chill
Christmas
Commute
Energy boosters
Feel-Good
Focus
Party
Pride
Romance
Sad
Sleep
Workout
Genres
African
Arabic
Blues
Bollywood & Indian
Christian & Gospel
Classical
Country and Americana
Dance and electronic
Decades
Family
Folk and acoustic
Hip-hop
Indie and alternative
J-Pop
Jazz
K-Pop
Latin
Mandopop & Cantopop
Metal
Pop
R&B and Soul
Reggae and Caribbean
Rock
Soundtracks and musicals
7.4 Boosting and AdaBoost (L07: Ensemble Methods)
39:40
|
Download MP3
Related Videos
2:45:10
Building LLMs from the Ground Up: A 3-hour Coding Workshop
58:46
Developing an LLM: Building, Training, Finetuning
19:44
LLMs: A Journey Through Time and Architecture
13:49
Insights from Finetuning LLMs with Low-Rank Adaptation
13:33
Understanding PyTorch Buffers
58:15
Machine Learning Q and AI author interview with Sebastian Raschka
45:22
LLMs for Everything and Everyone! - Sebastian Raschka - Lightning AI
1:45:55
767: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka
16:11
L19.4.1 Using Attention Without the RNN -- A Basic Form of Self-Attention
22:36
L19.5.1 The Transformer Architecture
2:59:32
Tutorials - Sebastian Raschka: The Fundamentals of Modern Deep Learning with PyTorch
16:34
Sebastian Raschka, Lead AI Education, Grid.AI
20:05
Finetuning Open-Source LLMs
2:03:43
Developing and Training LLMs From Scratch with Sebastian Raschka
1:24
Deep Learning Fundamentals with Sebastian Raschka - A New Educational Course from Lightning AI
56:58
The Three Elements of PyTorch
1:03:51
AMA with Dr. Sebastian Raschka, Lead AI Educator at Grid.ai
16:09
L19.4.2 Self-Attention and Scaled Dot-Product Attention
29:04
Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1
9:15
L8.1 Logistic Regression as a Single-Layer Neural Network