/coursera_deepnet_optimization_course2

Course 1 of Coursera Deep Learning Specialization - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Primary LanguageJupyter Notebook

Deep Learning Specialization on Coursera

Instructor: Andrew Ng

All of the work in this repository are my submissions for the course. I have put in notes and comments inline to make the code more intutive.

Please feel free to write to me at ankitrchadha at gmail.com if you have questions :)

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

  1. Python basics with Numpy - Focuses on the concept of broadcasting
  2. Building your Deep Neural Network - Step by Step
  3. Cat Classifier - Logistic Regression
  4. Cat Classifer - Deep Neural Network Application
  5. Planar Data Classifer with 1 Hidden Layer
  6. How Regularization helps reduce overfitting to the Training/Dev Data