Skills you'll gain

There are 5 modules in this course

After completing this course, learners will be able to: • Describe what a neural network is, what a deep learning model is, and the difference between them. • Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • Build deep learning models and networks using the Keras library.

Basics of Deep Learning

Keras and Deep Learning Libraries

Deep Learning Models

Final Project and Course Wrap-Up

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