Neural Networks and Deep Learning

This is the Course 1 of 5 in the Deep Learning Specialization, provided by Andrew Ng (DeepLearning.ai). With 45 videos (total about 7 hours) it introduced me to the foundational concept of neural networks and deep learning.

The course taught me how to:

• build, train, and apply fully connected shallow (one hidden layer) and deep neural networks
• implement efficient (vectorized) neural networks
• use forward propagation and backward propagation.
• identify key parameters in a neural network’s architecture
• apply deep learning to the applications