This course focuses on the application of state-of-the-art Deep Learning architectures to various medical imaging challenges.
In this course, you will learn and implement a new incredibly smart AI model, called the Twin-Delayed DDPG.
You will learn the most important and most progressive ones so that when you’re done with Deep Learning A-Z™
In this course, instructor Harshit Tyagi provides a complete guide to understanding NLP using recurrent neural networks (RNNs).
In this course, instructor Kumaran Ponnambalam provides a simplified path to understand various optimization and tuning options available.
PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit.
In this course, learn how to develop a face recognition system that can detect faces in images, identify the faces.
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision, and Bayesian methods.
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