Deep Learning

Description

Deep Learning Overview

Learn the fundamentals of deep neural networks and why they are so important, why they work and how to design your own deep neural network. The course is problem driven to impart theoretical and practical knowledge on auto-encoders, unsupervised, supervised and semi supervised learning along with concepts such as dropout, batch normalization, regularization.
In this Deep Learning course with Keras and Tensorflow certification training, you will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and more. Upon completion, you will be able to build deep learning models, interpret results, and build your own deep learning project.