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 ...

With artificial intelligence (AI) transforming industries around the world at lightning speed, the need for experts in the ...

This course is about deep learning, covering fundamental concepts of deep learning, neural networks, training and evaluation methods, and neural network architectures designed for tasks such as ...

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 ...

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 ...

To elevate Optimus's capabilities, Tesla is on the lookout for a Deep ... neural networks in real-world applications. Additional experience in natural language processing and distributed deep ...