Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.

After reading this book, you will know how to use the full toolkit of automated deep learning methods. The techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level.

What You Will Learn:

-Know the basic concepts of optimization tuners, search space, and trials

-Apply different hyper-parameter optimization algorithms to develop effective neural networks

-Construct new deep learning models from scratch

-Execute the automated Neural Architecture Search to create state-of-the-art deep learning models

-Compress the model to eliminate unnecessary deep learning layers

Who This Book Is For :

Intermediate to advanced data scientists and machine learning engineers involved in deep learning and practical neural network development