Installation Guide 2021

description: Installation Guide for Deep Learning 2021

Installation Guide

Installation Guide for Win10

This installation guide is for programming a deep learning application using Pytorch or Tensorflow.

Make sure you install the correct software version as instructed.

For DLIP 2021-1 Lecture:
Python 3.7, CUDA 10.2, cuDNN 8.0.5
PyTorch 1.10.x
Anaconda for Python 3.7 or Anaconda of Latest Version

Installation Steps

(updated 2021.4)

1. Install Anaconda

Anaconda : Python and libraries package installer.

2. Install Python & Numpy & OpenCV

Install Python

Python 3.7 (2022-1)

Python is already installed by installing Anaconda. But, we will make a virtual environment for a specific Python version.

Open Anaconda Prompt(admin mode)
First, update conda

conda update -n base -c defaults conda

Then, Create Virtual environment for Python 3.7. Name the $ENV as py37

conda create -n py37 python=3.7

After installation, activate the newly created environment

conda activate py37

Install Numpy, OpenCV, Matplot

conda activate py37

conda install numpy
conda install -c conda-forge matplotlib
conda install -c conda-forge opencv

If installed Numpy is not recognized after installation with conda, then install Numpy using pip
pip install numpy

3. Install IDE (Visual Studio Code)

Also, read about

4. Install GPU library (CUDA, cuDNN)

Skip this if you do not have GPU.

Nvidia GPU driver and Library : To operate the GPU.

CUDA — GPU C library. Stands for Compute Unified Device Architecture.
cuDNN — DL primitives library based on CUDA. Stands for CUDA Deep Neural Network.

5. Install DL Framework

Framework

TensorFlow — DL library, developed by Google.
Keras — DL wrapper with interchangeable backends. Can be used with TensorFlow, Theano or CNTK.
PyTorch — Dynamic DL library with GPU acceleration.

Install Pytorch

With GPU

# CUDA 10.2
conda activate py37
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=10.2 -c pytorch

Latest PyTorch does not support CUDA 10.2 . please use CUDA-11.3 for Latest version.

Without GPU

# CPU Only
conda activate py37
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cpuonly -c pytorch

Install Tensorflow and Keras

Run 'Anaconda Prompt(admin)'
Activate virtual environment
install tensorflow-gpu 2.3.0 packages
install keras

conda create -n py37tf23 python=3.7
conda activate py37tf23 
conda install tensorflow-gpu=2.3.0
conda install keras

6. Installing Other libraries

conda activate py37

conda install -c conda-forge matplotlib
conda install -c conda-forge opencv
conda install -c anaconda scikit-learn
conda install -c anaconda pandas
conda install jupyter
conda install -c anaconda ipykernel

PreviousInstallation Guide for Pytorch NextAnaconda

Last updated 3 years ago

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Installation Guide 2021

description: Installation Guide for Deep Learning 2021