Automated deep learning using neural network intelligence develop and design PyTorch and TensorFlow models using Python - Gridin, Ivan (Apress, 2022)
Chapter 1: Introduction to Neural Network Intelligence1.1 Installation1.2 Trial, search space, experiment1.3 Finding maxima of multivariate function1.4 Interacting with NNI; Chapter 2:Hyper-Parameter Tuning2.1 Preparing a model for hyper-parameter tuning2.2 Running experiment2.3 Interpreting results2.4 Debugging; Chapter 3: Hyper-Parameter Tuners; Chapter 4: Neural Architecture Search: Multi-trial4.1 Constructing a search space4.2 Running architecture search4.3 Exploration strategies4.4 Comparing exploration strategies; Chapter 5: Neural Architecture Search: One-shot5.1 What is one-shot NAS?5.2 ENAS5.3 DARTS; Chapter 6: Model Compression6.1 What is model compression?6.2 Compressing your model6.3 Pruning6.4 Quantization; Chapter 7: Advanced NNI