Hands-On Keras for Machine Learning Engineers | Packt Publishing

Welcome to hands-on Kera's for machine learning engineers. This is a carefully structured course to guide you in your journey to learn deep learning in Python with Kera's. Discover the Kera's Python library for deep learning and learn the process of developing and evaluating deep learning models using it.

There are two top numerical platforms for developing deep learning models; they are Theano, developed by the University of Montreal, and Tensor Flow developed at Google. Both were developed for use in Python and both can be leveraged by the super-simple-to-use Kera's library. Kera's wraps the numerical computing complexity of Theano and Tensor Flow, providing a concise API that we will use to develop our own neural network and deep learning models. Kera's has become the gold standard in the applied space for rapid prototyping deep learning models.

This course is a hands-on guide. It is a playbook and a workbook intended for you to learn by doing and then apply your new understanding to your own deep learning Kera's models.

All resources and code files for this course are placed here: https://github.com/PacktPublishing/Hands-On-Keras-for-Machine-Learning-Engineers

Audiences:

This course is for developers, machine learning engineers, and data scientists that want to learn how to get the most out of Kera's. You do not need to be a machine learning expert, but it would be helpful if you knew how to navigate a small machine learning problem using Sickest-Learn.