Instructor: Andrew Ng
This repo contains my work for this coursera deeplearning.AI specialization.
See below links to all completed programming assignments from the deeplearning.ai Coursera Specialization:
- Week 2 - PA 1 - Python Basics with NumPy
- Week 2 - PA 2 - Logistic Regression with a Neural Network mindset
- Week 3 - PA 1 - Planar data classification with one hidden layer
- Week 4 - PA 1 - Building your Deep Neural Network: Step by Step
- Week 4 - PA 2 - Deep Neural Network for Image Classification: Application
- Week 1 - PA 1 - Initialization
- Week 1 - PA 2 - Regularization
- Week 1 - PA 3 - Gradient Checking
- Week 2 - PA 1 - Optimization Methods
- Week 3 - PA 1 - TensorFlow Tutorial
- There were no programming assignments for course 3
- Week 1 - PA 1 - Convolutional Model: step by step
- Week 1 - PA 2 - Convolutional Model: application
- Week 2 - PA 1 - Residual Networks
- Week 2 - PA 2 - Transfer Learning with MobileNet
- Week 3 - PA 1 - Car Detection with YOLO
- Week 3 - PA 2 - Image Segmentation with U-Net
- Week 4 - PA 1 - Art Generation with Neural Style Transfer
- Week 4 - PA 2 - Face Recognition
- Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
- Week 1 - PA 2 - Character level language model - Dinosaurus land
- Week 1 - PA 3 - Jazz Improvization with LSTM
- Week 2 - PA 1 - Operations on Word Vectors (Vector Debiasing)
- Week 2 - PA 2 - Emojify
- Week 3 - PA 1 - Neural Machine Translation
- Week 3 - PA 2 - Trigger Word Detection
- Week 4 - PA 1 - Transformer Network
- Week 4 - Ungraded PA 1 - Transformer Preprocessing (Embedding + Positional Encoding)
- Week 4 - Ungraded PA 2 - Transformer Application: Named Entity Recognition
- Week 4 - Ungraded PA 3 - Transformer Application: Question Answering