README.md

Deep Learning Specialization (Coursera)

Instructor: Andrew Ng

Introduction

This repo contains all my work for Deep Learning Specialization on Coursera.

Programming Assignments

• Course 1: Neural Networks and Deep Learning:

  Course Info

  Notebooks:

  • Week 2 - Python Basics with Numpy
  • Week 2 - Logistic Regression with a Neural Network mindset
  • Week 3 - Planar data classification with a hidden layer
  • Week 4 - Building your Deep Neural Network: Step by Step
  • Week 4 - Deep Neural Network: Application

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

  Course Info

  Notebooks:

  • Week 1 - Initialization
  • Week 1 - Regularization
  • Week 1 - Gradient Checking
  • Week 2 - Optimization
  • Week 3 - TensorFlow

• Course 3: Structuring Machine Learning Projects

  Course Info

  Notebooks:

  • There are no programming assigments for this course.

• Course 4: Convolutional Neural Networks

  Course Info

  Notebooks:

  • Week 1 - Convolutional Model: step by step
  • Week 1 - Convolutional Model: application
  • Week 2 - Keras - Tutorial - Happy House
  • Week 2 - Residual Networks
  • Week 3 - Autonomous driving application - Car detection
  • Week 4 - Face Recognition for the Happy House
  • Week 4 - Art Generation with Neural Style Transfer

• Course 5: Sequence Models

  Course Info

  Notebooks:

  • Week 1 - Building a Recurrent Neural Network - Step by Step
  • Week 1 - Dinosaur Island - Character-Level Language Modeling
  • Week 1 - Improvise a Jazz Solo with an LSTM Network
  • Week 2 - Operations on word vectors
  • Week 2 - Emojify
  • Week 3 - Neural machine translation with attention
  • Week 3 - Trigger word detection