Deep Learning Specialization

Deep Learning Specialization on Coursera

Taught by: Andrew Ng

Introduction

This repository contains all my programming assignments for this Specialization. Coursera provided a detailed explaination in each notebook for a better understanding and also some helper function to but you on a good start.

Programming Assignments:

• Course 1: Neural Networks and Deep Learning

  • There are 5 Jupyter notebooks for each assignment in this course

• Course 2: Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

  • There are 6 Jupyter notebooks for each assignment in this course

• Course 3: Structuring Machine Learning Projects

  • There is no programming assignments in this course, but you can definitely check my course certificate.

• Course 4: Convolutional Neural Networks

  • Attached with this folder 7 Jupyter notebooks for each assignment in this course

• Course 5: Sequence Models

  • This is the last course in this Specialization and it contains 7 Jupyter notebooks for each assignment in this course

Milestones

• 11/09/2019 Finished the 1st course
• 14/02/2020 Finished the 2nd course
• 25/02/2020 Finished the 3rd course
• 15/03/2020 Finished the 4th course
• 24/03/2020 Finished the 5th course and The Specialization

Certificates Autentication

• You can check the certificate on Coursera from here