A collection of blog articles and code related to Deep Learning that I've curated.
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The simplest way to download the code is to clone the repository with git clone
:
git clone https://github.com/kurtispykes/Deep-Learning.git
git clone <repo>
cd <repo>
pip install virtualenv
(if you don't already have virtualenv installed)virtualenv venv
to create your new environment (called 'venv' here)venv/bin/activate.bat
to enter the virtual environmentpip install -r requirements.txt
to install the requirements in the current environment
- 7 Optimization methods used in Deep Learning
- Weight Initialization in Deep Neural Networks: See Full Code
- Improving the Accuracy of Your Neural Network: See Full Code
- Activation Functions in Neural Networks: See Full Code
- The Vanishing/Exploding Gradient Problem in Deep Neural Networks
- Varying Data To Build A Powerful Ensemble of Neural Netowrks: See Full Code
- Defining the Cost Function For Your Deep Neural Network