This document compares three popular machine learning libraries: Keras, TensorFlow, and PyTorch. Keras is best for rapid prototyping and small datasets. It is easy for beginners to use. TensorFlow is best for large datasets and high performance models. It has strong community support from tech companies. PyTorch is highly functional and flexible. It is suited for complex models and long training times with better debugging capabilities than the other two libraries.

3. ▪ An open source
neural network
library
▪ Runs on top of
Tensorflow
▪ An open source
library for dataflow
programming
▪ Used for Machine
learning applications
▪ An open source
machine learning
library
▪ Developed by
Facebook’s AI

4. Level of API
Speed Ease of Code
Debugging
Community
Dataset
Popularity
Architecture

5. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

6. Level of API
High level API Provides high
level & low level
API
Low level API

7. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

8. Speed
Slower as compared
to Pytorch
Used for high
Performance
Equivalent to the
speed of TensorFlow

9. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

10. Architecture
Architecture is
simpler than Pytorch
Complex architectureNot that easy to use

11. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

12. Ease of Code
Single line code More number
of lines in code
Reduced size of
Model with high
accuracy

13. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

14. Debugging
Less Frequent
need to debug
simple networks
Debugging is difficult Better Debugging
capabilities

15. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

16. Community
Smaller community
support
Backed by a large
community of
tech companies
Stronger
community support

17. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

18. Dataset
Used for small
dataset
Used for high
performance models
Used for large
datasets

19. Level of API
Speed
Architecture
Ease of Code
Debugging
Community
Dataset
Popularity

20. Popularity
Keras TensorFlow PyTorch

21. • Rapid
Prototyping
• Small Dataset
• Best for
Newbies
• Large Dataset
• High
Performance
• Functionality
• Flexibility
• Training
Duration
• Debugging
Capabilities