Deep Learning

How to install PyTorch on Anaconda

This is a quick post on how to install PyTorch on Anaconda and get started with deep learning projects. As a machine learning enthusiasts, this is the first step in getting started with PyTorch. I followed this steps on Mac Air and got started with PyTorch in no time. Here are the steps:

  • Go to Anaconda tool. Click on “Environments” in the left navigation.
  • Click on arrow marks on “base (root)” as shown in the diagram below. It will open up a small modal window as down. Click open terminal. This will open up a terminal window.

 

SFig 1. Setting Pytorch on Anaconda
  • Execute the following command to set up PyTorch.
conda install pytorch torchvision -c pytorch
  • Once done, go to Jupyter Notebook window and execute the following command:
from __future__ import print_function
import torch
x = torch.rand(5, 3)
print(x)
  • You would be able to see the output such as the following:
Fig 2. PyTorch successful set up on Anaconda
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Recent Posts

Pricing Analytics in Banking: Strategies, Examples

Last updated: 15th May, 2024 Have you ever wondered how your bank decides what to…

2 days ago

How to Learn Effectively: A Holistic Approach

In this fast-changing world, the ability to learn effectively is more valuable than ever. Whether…

4 days ago

How to Choose Right Statistical Tests: Examples

Last updated: 13th May, 2024 Whether you are a researcher, data analyst, or data scientist,…

4 days ago

Data Lakehouses Fundamentals & Examples

Last updated: 12th May, 2024 Data lakehouses are a relatively new concept in the data…

5 days ago

Machine Learning Lifecycle: Data to Deployment Example

Last updated: 12th May 2024 In this blog, we get an overview of the machine…

5 days ago

Autoencoder vs Variational Autoencoder (VAE): Differences, Example

Last updated: 12th May, 2024 In the world of generative AI models, autoencoders (AE) and…

5 days ago