Hands-on Machine Learning - 3ed 2023
Aurelien Geron
The most important neural net architectures: feedforward neural nets for tabular data, convolutional nets for computer vision, recurrent nets and long short-term memory (LSTM) nets for sequence processing, encoder–decoders and transformers for natural language processing (and more!), autoencoders, generative adversarial networks (GANs), and diffusion models for generative learning
Further context
Related notes
- Deep Learning With Python book notes
- Software 2.0 essays
- Practical Linear Algebra for Data Science book notes
- The Ai-First Company book notes
- LLMs are extending the number of operations we can perform without conscious thought essays
Linked from