Practical Generative AI for Beginners.
At the end of this video you will learn how to make your own AI application. You will learn how to put your application into production.
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1: Getting started
2: Deployment
3: Neural net foundations
4: Natural Language (NLP)
5: From-scratch model
6: Random forests
7: Collaborative filtering
8: Convolutions (CNNs)
9: Stable Diffusion
10: Diving Deeper
11: Matrix multiplication
12: Mean shift clustering
13: Backpropagation & MLP
14: Backpropagation
15: Autoencoders
16: The Learner framework
17: Initialization/normalization
18: Accelerated SGD & ResNets
19: DDPM and Dropout
20: Mixed Precision
21: DDIM
22: Karras et al (2022)
23: Super-resolution
24: Attention & transformers
25: Latent diffusion
Bonus: Data ethics
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