IPython Notebook(s) demonstrating deep learning functionality.
These notebooks are derived from learningtensorflow
Notebook | Description |
---|---|
tensorflow-basic | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. |
tensorflow-array | Using array to work with images. |
tensorflow-placeholders | Understand the concept of Placeholders |
tensorflow-iteration | Iteration in TensorFlow. |
tensorflow-clustering | Implement K-mean cluster in TensorFlow. |
These notebooks are derived from pythonprogramming.net
Notebook | Description |
---|---|
tensorflow-intro | Introduction to Tensorflow |
neural-network | Deep Learning with TensorFlow - Creating the Neural Network Model |
These notebooks are derived from machinelearningmastery.com
Notebook | Description |
---|---|
neural_network | First Neural Network in Python With Keras |
These notebooks are derived from Deep Learning A-Z™: Hands-On Artificial Neural Networks
Notebook | Description |
---|---|
01.Regression & Classification Intuition | Regression & Classification Intuition |
02.ANN Intuition | Artificial Neural Networks Intuition |
03.Building an ANN | Building an Artificial Neural Network |
This repository contains a variety of content; some developed by Tuan Vu, and some from third-parties. The third-party content is distributed under the license provided by those parties.
The content developed by Tuan Vu is distributed under the following license:
The MIT License (MIT)
Copyright (c) 2016 Tuan Vu
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.