DeepLearning.ai

Programming assignments of DeepLearning.ai specialization courses

Table of Contents

Course 1: Neural Networks and Deep Learning

C1W2P1 - Python Basics with Numpy

C1W2P2 - Logistic Regression with a Neural Network Mindset

C1W3P1 - Planar data classification with one hidden layer

C1W4P1 - Building your Deep Neural Network

C1W4P2 - Deep Neural Network for Image Classification

Course 2: Improving Deep Neural Networks

C2W1P1 - Initialization

C2W1P2 - Regularization

C2W1P3 - Gradient Checking

C2W2P1 - Optimization Methods

C2W3P1 - Tensorflow Tutorial

Course 3: Structuring Machine Learning Projects

There is no programming assignments for course 3

Course 4: Convolutional Neural Networks

C4W1P1 - Convolution Model (Step by Step)

C4W1P2 - Convolution model (Application)

C4W2P1 - Keras Tutorial (Happy House)

C4W2P2 - Residual Networks

C4W3P1 - Car detection for Autonomous Driving

C4W4P1 - Face Recognition for the Happy House

C4W4P2 - Art Generation with Neural Style Transfer

Course 5: Sequence Models

C5W1P1 - Building a Recurrent Neural Network (Step by Step)

C5W1P2 - Dinosaur Island (Character-level language model)

C5W1P3- Jazz improvisation with LSTM

C5W2P1 - Operations on word vectors - Debiasing

C5W2P2 - Emojify

C5W3P1 - Neural Machine Translation with Attention

C5W3P2 - Trigger word detection