In this course, we'll commence with theoretical sessions to provide an overview of Deep Learning and neural networks. We'll delve into key concepts such as the distinction between deep learning and machine learning, the historical evolution of neural networks, the fundamental workflow of deep learning, the comparison between biological and artificial neurons, and the diverse applications of neural networks. We'll explore the factors influencing the choice between machine learning and deep learning approaches through comparative analysis.We'll prepare your computer environment for deep-learning coding following the theoretical foundation.

This entails installing the Anaconda platform, a widely-used Python distribution, and essential dependencies necessary to embark on the course journey.What you'll learn:- Deep Learning and Convolutional Neural Networks Using Python for BeginnersCourse Components:- Deep Learning and Neural Networks Python Keras For Dummies Course.