<p><span id="description" class="sugar_field">The course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. We then get to what everyone is talking about: Neural Networks.</span></p> <p><span id="description" class="sugar_field">Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network. We will then move on to understanding the different Deep Learning Architectures, including how to set up your architecture and align the output. Finally we take a look at Artificial Neural Networks and understand how to build your own ANN. </span></p> <p><span id="description" class="sugar_field">Taking this course will help you dive head first into the popular field of deep learning as a career choice or for further learning.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">This course will give you an introduction to deep learning and its architectures with real-world use cases and neural networks, while exposing you to Deep Learning architectures. Also covered will be an introduction to Artificial Neural Networks and their implementation with practical sessions.</span></span></p>