This repo contains all my work for this specialization. The codes for the assignments are pushed in this repo. Most of the code is pre-written, my code goes in the space below "START CODE HERE".

Currently, this repo has 3 major parts you may be interested in and I will give a list here.

• Logistic Resgression with a Neural Network mindset
• PLanar data classification with one hidden layer
• Building your Deep Neural Network
• Deep Neaural Network for Image Classification: Application

• Initialization
• Regularization
• Gradient Checking
• Optimization Methods
• Tensorflow Tutorial

• There is no PA for this course. But this course comes with very interesting case study quizzes.

• Convolutional Model: step-by-step
• Convolutional Model: Application
• Keras Tutorial - Happy House
• Residual Networks

• Building a Recurrent Neural Network - Step-by-Step
• Character level language model - Dinosaurun land

I have completed all the quizes in every course in this specialization.

• https://www.coursera.org/specializations/deep-learning