Neural Networks and Deep Learning

The opening course of a specialization

This Coursera course is the first in the Deep Learning Specialization. It lays out the foundations: why deep learning has taken off, how to build, train and apply fully connected deep neural networks, and how to write them in efficient, vectorized form. It is aimed at learners at an intermediate level.

Skills it targets

• Artificial neural networks and convolutional networks at a conceptual level
• Supervised learning and model optimization
• Python programming applied to model training

Where it fits

Because it is the opening course in a longer sequence, the material is designed as the base for the later courses in the specialization. Writing the vectorized implementations yourself will do more for you than watching the lectures alone, and applying the ideas to a dataset of your own is the best way to test what you have learned.