Deep-Learning

This repository includes the exercises and projects I have done in the Deep Learning course taught by Andrew Ng in Coursera.

Exercises and Projects

Neural Networks and Deep Learning

• Python basics with numpy
• Logistic regression with neural network
• Planar data classification with one hidden layer
• Build deep neural networks step by step
• Deep neural network application

Improve Deep Neural Networks

• Initialization
• Regularization
• Gradient checking
• Optimization methods
• TensorFlow tutorial

Convolution Neural Networks

• Convolution model step by step
• Keras tutorial - Happy House
• Autonomous driving application - Car detection
• Art generation with neural style transfer
• Face recognition for the Happy House

Sequence Models

• Build recurrent neural network step by step
• Dinosaurus Iand - Character level language model
• Improvise a Jazz Solo with an LSTM network
• Emojify
• Operations on word vectors
• Neural machine translation
• Trigger word detection

Contact me

Via email: zhongchen43 at gmail dot com