deeplearning.ai is the new course by Andrew Ng on Coursera. He wanted to build a AI power socity and also added "AI is the new electricity".
Website: https://www.deeplearning.ai/
Instructor: Andrew Ng (http://www.andrewng.org/)
TAs: Kian Katanforoosh and Younes Mourri
Learn How to build neural networks.
Learn how to lead successful machine learning projects.
Learn about Xavier/He initialization, Regularization, Dropout, Batch Normalization and Adam optimization and more.
Learn about Convolutional networks, RNNs, LSTM and more.
Programming assignment from the areas of healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
Programming assignments are in Python and in TensorFlow in Keras.
Course 1: Neural Networks and Deep Learning
Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Course 3: Structuring Machine Learning Projects
Course 4: Convolutional Neural Networks
Course 5: Sequence Models
Each course is divided into Week wise directories (Maximum upto Week4). This repositpory mainly contains the programming assignments which I have completed during the course. Main file of assignments is [.ipynb] jupyter notebook. [images] folder contains the images which are used in jupyter notebok. [.py] files are the helping scripts for particular assignment. I have also uploaded quizes [.md] of few weeks.
Earned knowledge and Certificates