Deep Learning is a subset of machine learning where artificial neural networks, algorithms based on the structure and functioning of the human brain, learn from large amounts of data to create patterns for decision-making. Neural networks with various (deep) layers enable learning through performing tasks repeatedly and tweaking them a little to improve the outcome.
This specialisation is design and conducted by Andew NG, an industry and academic expert in Deep learning. The courses contain necessary theorerical background as well as hands on experiance using python, tensorflow and keras.

The specialisation has 5 courses:

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Specialisation Certificate Neural Network and Deep Learning Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models