johnmoses/coursera-deep-learning-specialization

Deep Learning Specialization - Coursera

Deep Learning Specialization

My Scores

• Course 1 - Neural Networks and Deep Learning: 97%
• Course 2 - Improving Deep Neural Networks: 97.99%
• Course 3 - Structuring Machine Learning Projects: 100%
• Course 4 - Convolutional Neural Networks: 97%
• Course 5 - Sequence Models: 100%

Course Structure

Each course is spread out in weeks, and are made up of video slides, lab sessions, quizzes, assignments, related course materials, code and data

Course 1: Neural Networks and Deep Learning

Week 1

Slides

• Introduction to Deep Learning

Week 2

Slides

• Basics of Neural Network Programming

Assignments

• Python Basics with Numpy (optional assignment)
• Logistic Regression with a Neural Network mindset)

Week 3

Slides

• One hidden layer Neural Network

Assignments

• Planar data classification with one hidden layer

Week 4

Slides

• Deep Neural Networks

Assignments

• Building your Deep Neural Network: Step by Step
• Deep Neural Network for Image Classification: Application

Course 2: Improving Deep Neural Networks

Week 1

Slides

• Setting up your ML application

Assignments

• Initialization
• Regularization
• Gradient Checking

Week 2

Slides

• Optimization Algorithms

Assignments

• Optimization Methods

Week 3

Slides

• Hyperparameter tuning

Assignments

• Introduction to TensorFlow

Course 3: Structuring Machine Learning Projects

Week 1

Slides

• Introduction to ML strategy

Week 2

Slides

• Error Analysis

Course 4: Convolutional Neural Networks

Week 1

Slides

• Convolutional Neural Networks

Assignments

• Convolutional Neural Networks: Step by Step
• Convolutional Neural Networks: Application

Week 2

Slides

• Case Studies

Assignments

• Residual Networks
• Transfer Learning with MobileNetV2

Week 3

Slides

• Object Detection

Assignments

• Autonomous Driving - Car Detection
• Image Segmentation with U-Net

Week 4

Slides

• Face recognition

Assignments

• Face Recognition
• Deep Learning & Art: Neural Style Transfer

Course 5: Sequence Models

Week 1

Slides

• Recurrent Neural Networks

Assignments

• Building your Recurrent Neural Network - Step by Step
• Character level language model - Dinosaurus Island
• Improvise a Jazz Solo with an LSTM Network

Week 2

Slides

• NLP and Word Embeddings

Labs

• Operations on Word Vectors
• Emojify!

Week 3

Slides

• Sequence to sequence models

Assignments

• Neural Machine Translation
• Trigger Word Detection

Week 4

Slides

• Sequence to sequence models

Assignments

• Transformer Network
• Transformer Network Application: Named-Entity Recognition
• Transformer Network Application: Question Answering
• Transformer Pre-processing

Disclaimer

The solutions presented are intended to serve as reference for learners who enroll in this course.