1:09:58

MIT Introduction to Deep Learning | 6.S191

18:40

But what is a neural network? | Deep learning chapter 1

23:10

Large Scale Deep Learning with TensorFlow

19:46

Quantization vs Pruning vs Distillation: Optimizing NNs for Inference

1:15:46

Deep Learning Bootcamp: Kaiming He

22:23

All Machine Learning Models Clearly Explained!

31:21

Tools for Working with Large Datasets

30:12

Improving RAG Retrieval by 60% with Fine-Tuned Embeddings