shuai06/Deep-Learning-Specialization-Coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

Deep Learning Specialization Coursera [UPDATED Version 2021]

This repo contains all of the solved assignments of Coursera's most famous Deep Learning Specialization of 5 courses offered by deeplearning.ai

Instructor: Prof. Andrew Ng

What's New

This Specialization was updated in April 2021 to include developments in deep learning and programming frameworks. One of the most major changes was shifting from Tensorflow 1 to Tensorflow 2. Also, new materials were added. However, Most of the old online repositories still don't have old codes. This repo contains updated versions of the assignments. Happy Learning :)

Programming Assignments

• Course 1: Neural Networks and Deep Learning

  • W2A1 - Logistic Regression with a Neural Network mindset
  • W2A2 - Python Basics with Numpy
  • W3A1 - Planar data classification with one hidden layer
  • W3A1 - Building your Deep Neural Network: Step by Step¶
  • W3A2 - Deep Neural Network for Image Classification: Application

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

  • W1A1 - Initialization
  • W1A2 - Regularization
  • W1A3 - Gradient Checking
  • W2A1 - Optimization Methods
  • W3A1 - Introduction to TensorFlow

• Course 3: Structuring Machine Learning Projects

  • There were no programming assignments in this course. It was completely thoeretical.
  • Here is a link to the course

• Course 4: Convolutional Neural Networks

  • W1A1 - Convolutional Model: step by step
  • W1A2 - Convolutional Model: application
  • W2A1 - Residual Networks
  • W2A2 - Transfer Learning with MobileNet
  • W3A1 - Autonomous Driving - Car Detection
  • W3A2 - Image Segmentation - U-net
  • W4A1 - Face Recognition
  • W4A2 - Neural Style transfer

• Course 5: Sequence Models

  • W1A1 - Building a Recurrent Neural Network - Step by Step
  • W1A2 - Character level language model - Dinosaurus land
  • W1A3 - Improvise A Jazz Solo with an LSTM Network
  • W2A1 - Operations on word vectors
  • W2A2 - Emojify
  • W3A1 - Neural Machine Translation With Attention
  • W3A2 - Trigger Word Detection
  • W4A1 - Transformer Network
  • W4A2 - Named Entity Recognition - Transformer Application
  • W4A3 - Extractive Question Answering - Transformer Application

Disclaimer

I've uploaded these solutions here, only for being used as a help by those who get stuck somewhere. It may help them to save some time. I strongly recommend everyone to not directly copy any part of the code (from here or anywhere else) while doing the assignments of this specialization. The assignments are fairly easy and one learns a great deal of things upon doing these. Thanks to the deeplearning.ai team for giving this treasure to us.