1. Introduction to deep learning
Jun 1, 2022
17.2 MB
2. Multi-layer perceptron networks
Jan 4, 2022
2.7 MB
3. Images, neural networks, CNNs
Jan 7, 2022
10.6 MB
4. Text, embeddings, and RNNs
Jan 31, 2022
4 MB
5. Deep learning frameworks, GPUs and batch jobs
Oct 25, 2022
3.7 MB
6. Attention models
Feb 10, 2022
10.6 MB
7. Cloud, GPU utilization, multi-GPU
Feb 21, 2022
2.2 MB
Overview of Course
Dec 10, 2021
177 KB
X. AutoML
Jan 4, 2022
1.3 MB