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Keras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | Edureka

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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.

Technology
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▪ 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
Level of API Speed Ease of Code Debugging Community Dataset Popularity Architecture
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Level of API High level API Provides high level & low level API Low level API
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Speed Slower as compared to Pytorch Used for high Performance Equivalent to the speed of TensorFlow
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Architecture Architecture is simpler than Pytorch Complex architectureNot that easy to use
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Ease of Code Single line code More number of lines in code Reduced size of Model with high accuracy
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Debugging Less Frequent need to debug simple networks Debugging is difficult Better Debugging capabilities
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Community Smaller community support Backed by a large community of tech companies Stronger community support
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Dataset Used for small dataset Used for high performance models Used for large datasets
Level of API Speed Architecture Ease of Code Debugging Community Dataset Popularity
Popularity Keras TensorFlow PyTorch
• Rapid Prototyping • Small Dataset • Best for Newbies • Large Dataset • High Performance • Functionality • Flexibility • Training Duration • Debugging Capabilities
Keras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | Edureka

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