The latest programming assignments and quizzes from all courses in the Coursera Deep Learning specialization offered by deeplearning.ai.
Professor: Andrew Ng
This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Deep Learning Specialization on Coursera, unless specified otherwise.
- Week 2 - Python Basics with Numpy
- Week 2 - Logistic Regression with a Neural Network mindset
- Week 3 - Planar data classification with one hidden layer
- Week 4 - Building your Deep Neural Network: Step by Step
- Week 4 - Deep Neural Network for Image Classification: Application
- Week 1 - Initialization
- Week 1 - Regularization
- Week 1 - Gradient Checking
- Week 2 - Optimization Methods
- Week 3 - Introduction to TensorFlow
- Week 1 - Convolutional Neural Networks: Step by Step
- Week 1 - Convolutional Neural Networks: Application
- Week 2 - Residual Networks
- Week 2 - Transfer Learning with MobileNet
- Week 3 - Autonomous Driving Application Car Detection
- Week 3 - Image Segmentation with U-Net
- Week 4 - Face Recognition
- Week 4 - Deep Learning & Art: Neural Style Transfer
- Week 1 - Building a Recurrent Neural Network - Step by Step
- Week 1 - Dinosaur Land -- Character-level Language Modeling
- Week 1 - Jazz improvisation with LSTM
- Week 2 - Word Vector Representation and Debiasing
- Week 3 - Neural Machine Translation with Attention
- Week 3 - Trigger Word Detection
- Week 3 - Transformer Network