Advance Your Skills in Deep Learning and Neural Networks

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

The hottest new frontier in the universe of AI and machine learning is in deep learning and neural networks. This learning path is your entryway into the tools, concepts, and finer points of computer vision, natural language processing, and more.

Master the basics of computer vision.
Explore the applications of building neural networks.
Learn how natural language processing (NLP) works.

Syllabus

Course 1: Building Deep Learning Applications with Keras 2.0

Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.

Course 2: Deep Learning: Face Recognition

Learn how to develop a face recognition system by leveraging deep learning. Find out how to code for face detection, identification, and more.

Course 3: Deep Learning: Image Recognition

Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

Course 4: Building and Deploying Deep Learning Applications with TensorFlow

Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.

Course 5: Training Neural Networks in Python

Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.

Course 6: Neural Networks and Convolutional Neural Networks Essential Training

Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.

Course 7: Learning TensorFlow with JavaScript

Get introduced to TensorFlow and machine learning. Learn how you can leverage your JavaScript skills to create a machine learning project.

Course 8: Introduction to AWS DeepLens

Get started with AWS DeepLens, the world's first deep learning-enabled video camera for developers.

Course 9: NLP with Python for Machine Learning Essential Training

Explore natural language processing (NLP) concepts, review advanced data cleaning and vectorization techniques, and learn how to build machine learning classifiers.