And finally, you will close out the specialization with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries, and hands-on ...

Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps.

It facilitates users to finetune deep neural networks using transfer learning and is written in Python ... that has some useful examples as well as a Monk GUI(GitHub) tool that looks similar ...

These books cover the fundamentals of deep learning and provide practical examples to help readers get started. Which Python libraries do I need for machine learning? To get started with machine ...