/recurrent-neural-networks

Primary LanguageJupyter Notebook

Recurrent Neural Networks

This is part of Udacity Deep Learning Program, and this repository is meant to document my study and practice towards RNN.

Dependencies

PyTorch is the deep learning framework used in this project, please follow the following steps to config environment

Configure and Manage Project Environment with Anaconda

Per the Anaconda docs:

Conda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.

Overview

Using Anaconda consists of the following:

  1. Install miniconda on your computer, by selecting the latest Python version for your operating system. If you already have conda or miniconda installed, you should be able to skip this step and move on to step 2. You can also find achived miniconda version in this link, I used Miniconda3-4.5.1-Windows-x86_64 (python 3.6.5)
  2. Create and activate * a new conda environment.
  • Windows:
conda create --name deep-learning python=3.6.5
conda activate deep-learning
conda install numpy matplotlib pandas jupyter notebook
conda install pytorch torchvision cudatoolkit=9.0 -c pytorch ([cpu version]conda install pytorch-cpu torchvision-cpu -c pytorch)
conda install -c conda-forge opencv 
conda install -c conda-forge tqdm