Coursera Deep Learning Specialization Course.

This repo contains solutions of all the Programming assignments given during the course.

Assignments

• Course 1 - Neural Networks and Deep Learning

  • Week 2 - PA 1 - Python basics with numpy (Optional)
  • Week 2 - PA 2 - Logistic Regression with a Neural Network mindset
  • Week 3 - PA 3 - Planar data classification with a hidden layer
  • Week 4 - PA 4 - Building your deep neural network: Step by Step
  • Week 4 - PA 5 - Deep Neural Network Application

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

  • Week 1 - PA 1 - Initialization
  • Week 1 - PA 2 - Regularization
  • Week 1 - PA 3 - Gradient Checking
  • Week 2 - PA 4 - Optimization
  • Week 3 - PA 5 - Tensorflow Tutorial

• Course 3 - Structuring Machine Learning Projects

  This course doesn't have any Programming Assignments.

• Course 4 - Convolutional Neural Networks

  • Week 1 - PA 1 - Convolutional Model: step by step
  • Week 1 - PA 2 - Convolutional Model: Application
  • Week 2 - PA 3 - Keras Tutorial (not graded)
  • Week 2 - PA 4 - Residual Networks
  • Week 3 - PA 5 - Car detection with YOLOv2
  • Week 4 - PA 6 - Art generation with Neural Style Transfer
  • Week 4 - PA 7 - Face Recognition for the Happy House

• Course 5 - Sequence Models

  • Week 1 - PA 1 - Building a recurrent neural network - step by step
  • Week 1 - PA 2 - Dinosaur Island - Character-Level Language Modeling
  • Week 2 - PA 3 - Operations on word vectors - Debiasing
  • Week 2 - PA 4 - Emojify
  • Week 3 - PA 5 - Neural Machine Translation with Attention
  • Week 3 - PA 6 - Trigger word detection