This repository contains my full documentation of Coursera's Deep Learning Specialization taught by the professor Andrew Ng offered by deeplearning.ai.
In this specialization, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
https://www.coursera.org/specializations/deep-learning
For every course in this specialization, there is:
- Course Summary
- Course Certificate
- Assignments