- Published on July 10, 2018
- In Global Tech
TensorFlow Vs PyTorch: Which Framework Is Better For Implementing Deep Learning Models?
- By Kishan Maladkar
As artificial Intelligence is being implemented in almost all sectors of automation. Deep learning is one of the trickiest architectures used to develop and maximise the efficiency of human-like computers. To help the product developers, Google, Facebook and other big tech companies have released various frameworks for Python environment where one can learn, build and train diversified neural networks.
Google’s TensorFlow is an open source framework for deep learning which has received popularity over the years. With the new framework, PyTorch is receiving loads of attention from beginners because of its easy-to-write code. PyTorch is developed based on Python, C++ and CUDA backend, and is available for Linux, macOS and Windows.
There are a few differences between these two widely-use
📣 Want to advertise in AIM? Book here
Kishan Maladkar
Kishan Maladkar holds a degree in Electronics and Communication Engineering, exploring the field of Machine Learning and Artificial Intelligence. A Data Science Enthusiast who loves to read about the computational engineering and contribute towards the technology shaping our world. He is a Data Scientist by day and Gamer by night.
Related Posts
Top 10 Companies That Crowned Hyderabad as India’s Greenfield GCC Leader in 2025
Telangana has attracted over 75 greenfield GCCs in 2025, compared with 40-plus in Karnataka.
The AI Coding Gold Rush Ends Where Harness Begins
“Only 30% of software engineering happens on the laptop. The real 70% starts after you commit the code,” says Jyoti
India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
This Firm Wants to be the ‘Next Big Disruptor’ in Networking
Arrcus positions itself as a horizontal software layer that can run across different types of networking hardware.
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
India’s Data Centre Expansion Is Decentralising
Without compute buildup beyond metros, the next wave of digital adoption will be constrained
How Mumbai Keeps Winning India’s Data-Centre Race
Land prices are among the highest in the country, but total build economics remain competitive by global standards.
From Shortages to Scale, io.net’s Approach to Rewriting AI Compute Access
A decentralised GPU marketplace may scale AI compute faster than traditional clouds, as GPU demand towers over supply
Download the easiest way to
stay informed
stay informed
