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.