1:51
Intro to ML: Course Overview
19:59
0. What is machine learning?
21:09
1. Build Your First Machine Learning Model
18:58
2. Multi-Layer Perceptrons
12:36
3. Convolutional Neural Networks
13:12
4. Autoencoders
18:00
5. Sentiment Analysis
20:22
6. Recurrent Neural Networks [RNNs]
22:16
7. Text Generation using LSTMs and GRUs
16:28
8. Text Classification Using Convolutional Neural Networks
9:15
9. Hybrid LSTMs [Long Short-Term Memory]
13:22
10. Seq2Seq Models
1:37
Weights & Biases: The AI Developer Platform for MLOps and LLMOps
