Deep learning is a popular subset of machine learning that allows you to build complex models that are faster and give more accurate predictions. Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It’s used to help deal with customer support enquiries, analyse how customers feel about a product, and provide intuitive user interfaces.

This comprehensive 2-in-1 course teaches you to write  applications using two popular data science concepts, deep learning and NLP. You’ll learn through practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills, which you will put to work in your own applications.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Getting Started with NLP and Deep Learning with Python, starts off with an introduction to Natural Language Processing (NLP) and recommendation systems which enables you to run multiple algorithms simultaneously. You will then learn the concepts of deep learning and TensorFlow. You will also learn how to create machine learning architecture.

The second course, Deep Learning with Python, takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understanding automatic differentiation. You will then learn convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. You will also learn to examine the performance of the sentiment analysis model. Finally, you be glanced through TensorFlow.