Deep Learning with Python – Novice to Pro!

Deep Learning is revolutionizing a wide range of industries. Deep Learning allows you to solve problems where traditional Machine Learning methods might perform poorly: detecting and extracting objects from images, extracting meaning from text, and predicting outcomes based on complex dependencies, to name a few. If you’re a Data Scientist who have basic Machine Learning knowledge and want to explore the possibilities of Deep Learning, then this Course is perfect for you!

This comprehensive 3–in–1 course is a direct, practical, and very hands–on approach where we deal less with theory and adopt a more hands–on style of learning. Initially, you’ll get hands–on experience building basic neural network models (and no maths!) using Python. You’ll also build a deep learning–based image recognition system using Python and learn how to deploy and integrate it into web apps or phone apps. Moving further, a discussion on the corresponding pros and cons of implementing solutions using a popular framework such as TensorFlow, PyTorch, and Keras is provided. Finally, you’ll reuse Python code snippets and adapt them to everyday problems also, evaluate the cost/benefits and performance implication of each solution.

By the end of this course, you’ll apply Deep Learning concepts and use Python to solve challenging tasks. Identify mean tweets, detect smiles in your camera app, forecast stock prices, and more using Neural Networks.