Deep Learning is a branch of Artificial Intelligence (AI) that enables machines to learn patterns from large amounts of data using multi-layered neural networks.

This Deep Learning Tutorial introduces the basic ideas behind deep neural networks, how artificial neurons process data, what makes a network “deep”, and how you can begin building simple models using Python.

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Deep Learning is transforming the way machines understand, learn and interact with complex data. Deep learning mimics neural networks of the human brain, it enables computers to autonomously uncover patterns and make informed decisions from vast amounts of unstructured data.

Our Deep Learning tutorial will help you learn everything; what it is, what is a neural network, all the frameworks, and even prepare you for deep learning interviews. The deep learning tutorial also covers various skills and algorithms from CNN to RNN.

In this tutorial, we are going to dive into the world of deep learning and discover all the key concepts required for you to start a career in artificial intelligence (AI).

Deep learning is a subfield of machine learning inspired by the structure of the human brain. Today, we'll cover how deep learning works and show you how to implement it yourself.

In this tutorial, we introduce you to classic deep learning algorithms and their applications in various fields.

This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving deep learning techniques such as convolutional neural nets, recurrent nets, back propagation, etc.

Equip yourself with the knowledge necessary to use the TensorFlow API along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.