My Sitemap
- 1.0-introduction
- 2.0-preliminaries
- 2.1-data-manipulation
- 2.2-data-preprocess
- 2.3-linear-algebra
- 2.4-calculus
- 2.5-automatic-differentiation
- 2.6-probability
- 2.7-dataset
- 3.0-linear-neural-networks
- 3.1-linear-regression
- 3.2-linear-reg-impl-from-scratch
- 3.3-concise-impl-of-linear-reg
- 3.4-softmax-regression
- 3.5-the-image-classification-dataset
- 3.6-implementation-of-softmax-regression-from-scratch
- 3.7-concise-impl-of-softmax-regression
- 4.1-multilayer-perceptrons
- 4.2-impl-multilayer-perceptron-from-scratch
- 4.3-concise-impl-multilayer-perceptron
- 4.4-underfitting-overfitting
- 4.5-weight-decay
- 4.6-dropout
- 4.8-numerical-stability
- CLJ D2L
- Dive into Deep Learning with Clojure DJL
- Index
- Installation
- notation