In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical imaging, and robotics, we will learn about artificial neurons called perceptrons.

In the first part, after a quick introduction to Deep Learning's exciting applications ... do any data preprocessing to prepare for your deep learning models. This week will teach you another neural ...

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

Understanding Deep Learning. To understand deep learning and how it differs from machine learning, you need to understand ...

In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the ...

Introduction A Tensor Processing Unit (TPU) is a specialized hardware accelerator developed by Google to enhance machine learning performance, ...

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 ...