6:29
14 Code to Conversation
Vu Hung Nguyen (Hưng)
6:59
13 Fine Tuning Transformers
7:55
12 Understanding Transformers
6:15
07 Text Classification Done Right: FFNNs, PyTorch DataLoaders, & Adam
7:10
06 Taming Deep Learning: Mini-batching for Stable Training
7:08
03 Logistic Regression: Soft Updates for Better Learning
7:14
02 Machine Learning Is Easy: Meet The Perceptron
6:31
16 Practical NLP: Neural Architectures for Text Classification
6:17
Implementing Machine Translation with T5 Transformers
6:34
11 AI Recipe Learning Grammar
7:44
10 Unlocking Sequences
5:03
09 Turning Words Into Numbers
7:50
08 From Words to Vectors: The Power of Representation Learning
6:55
05 Your First Neural Network: Feed Forward Fundamentals
7:51
04 Code Your Own Text Classifier: Logistic Regression in Python
6:22
01 How Machines Speak: Intro to ML, NLP, & Deep Learning
6:19
00 ML & NLP Basics: How Deep Learning Powers Your Digital Life
7:18
17 Python Language & Libraries: Core Features Overview
