Deep Learning Assignments

The Deep Learning Specialization by Andrew Ng provides the foundations of Deep Learning, how to build neural networks, and lead successful machine learning projects, comprising Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long short-term memory (LSTM), Adam Optimization, Dropout Regularization, BatchNorm, Xavier/He initialization, and more.

Contents

Neural Networks and Deep Learning

• Logistic Regression with a Neural Network mindset

• Planar data classification with one hidden layer

• Building Deep Neural Network: Step by Step

• Deep Neural Network for Image Classification: Application

• Initialization, Regularization, Optimization Methods
  

Convolutional Neural Networks

• Residual Networks

• Car detection for Autonomous Driving

• Face Recognition

• Neural Style Transfer

Sequence Models

• Dinosaurus island - Character level language model

• Improvise a Jazz solo with an LSTM network