Book Image

Automated Machine Learning with AutoKeras

By : Luis Sobrecueva
Book Image

Automated Machine Learning with AutoKeras

By: Luis Sobrecueva

Overview of this book

AutoKeras is an AutoML open-source software library that provides easy access to deep learning models. If you are looking to build deep learning model architectures and perform parameter tuning automatically using AutoKeras, then this book is for you. This book teaches you how to develop and use state-of-the-art AI algorithms in your projects. It begins with a high-level introduction to automated machine learning, explaining all the concepts required to get started with this machine learning approach. You will then learn how to use AutoKeras for image and text classification and regression. As you make progress, you'll discover how to use AutoKeras to perform sentiment analysis on documents. This book will also show you how to implement a custom model for topic classification with AutoKeras. Toward the end, you will explore advanced concepts of AutoKeras such as working with multi-modal data and multi-task, customizing the model with AutoModel, and visualizing experiment results using AutoKeras Extensions. By the end of this machine learning book, you will be able to confidently use AutoKeras to design your own custom machine learning models in your company.
Table of Contents (15 chapters)
1
Section 1: AutoML Fundamentals
5
Section 2: AutoKeras in Practice
11
Section 3: Advanced AutoKeras

Visualizing and comparing your models with ClearML

ClearML (formerly Trains) is a complete open source ML/DL experimentation solution that automatically tracks everything you need to document your work, visualize results, and reproduce, adjust, and compare experiments using an intuitive web interface.

ClearML allows you to perform the following tasks:

  • Visualize experiment results in the ClearML Web UI.
  • Track and upload models.
  • Track model performance and create tracking leaderboards.
  • Rerun experiments, reproduce experiments on any target machine, and tune experiments.
  • Compare experiments.

To use it in your AutoKeras project, you just have to initialize a ClearML Task in your code, and ClearML automatically records scalars, graphs, and images reported to TensorBoard, Matplotlib, Plotly, and Seaborn, as well as all the other automatic logs and explicit reports that you add to your code.

Adding ClearML to code

Just add these two lines of code to...