Skip to content

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

Notifications You must be signed in to change notification settings

ttungl/Deep-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 

Repository files navigation

Deep Learning

This is the online course on Udacity.

Instructor: Dr. Vincent Vanhoucke from Google Brain.

Notice: The original assignments can be found at this link.

* Logistic Regression, Stochastic Optimization, and Data & parameters tuning.

* Deep Neural Networks

* Regularization

* Convolutional Networks

* Deep Models for Text and Sequences

[Embeddings]

[Recurrent Neural Networks]

[Resources]

About

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published