Learners will be able to use hands-on modern machine learning tools and python libraries ... learn about the components of Convolutional Neural Networks. We will study the parameters and ...

It provides a flexible platform for building and training deep learning models. It’s known for its scalability and performance. Keras is a high-level neural networks API written in Python.

In this course, we’ll examine the history of neural networks and state-of-the-art approaches to deep learning. Students will learn to ... Students must be competent in Python and NumPy – or be able to ...

In this course students will study deep learning architectures such as autoencoders, , convolutional deep neural networks, and recurrent neural networks. They will read original research papers that ...

as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models. With that mind ...