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** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learni... ** <br>This Edureka PPT on "Keras vs TensorFlow vs PyTorch" will provide you with a crisp comparison among the top three deep learning frameworks. It provides a detailed and comprehensive knowledge about Keras, TensorFlow and PyTorch and which one to use for what purposes. Following topics will be covered in this PPT: <br>Introduction to keras, Tensorflow, Pytorch <br>Parameters of Comparison <br>Level of API <br>Speed <br>Architecture <br>Ease of Code <br>Debugging <br>Community Support <br>Datasets <br>Popularity <br>Suitable use cases <br><br>Follow us to never miss an update in the future. <br><br>Instagram: https://www.instagram.com/edureka_learning/ <br>Facebook: https://www.facebook.com/edurekaIN/ <br>Twitter: https://twitter.com/edurekain <br>LinkedIn: https://www.linkedin.com/company/edureka
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▪ An open source neural network library ▪ An open source library for dataflow programming ▪ An open source machine learning library ▪ Runs on top of Tensorflow ▪ Used for Machine learning applications ▪ Developed by Facebook’s AI
Community Ease of Code Popularity Speed Debugging Dataset Level of API Architecture
Community Ease of Code Popularity Speed Debugging Dataset Level of API Architecture
Level of API Low level API High level API Provides high level & low level API
Speed Community Ease of Code Popularity Debugging Dataset Level of API Architecture
Speed Slower as compared to Pytorch Used for high Performance Equivalent to the speed of TensorFlow
Community Ease of Code Popularity Speed Debugging Dataset Level of API Architecture
Architecture Architecture is simpler than Pytorch Not that easy to use Complex architecture
Ease of Code Community Popularity Speed Debugging Dataset Level of API Architecture
Ease of Code Reduced size of Model with high accuracy More number of lines in code Single line code
Community Ease of Code Popularity Speed Dataset Level of API Architecture Debugging
Debugging Less Frequent need to debug simple networks Debugging is difficult Better Debugging capabilities
Community Ease of Code Popularity Speed Debugging Dataset Level of API Architecture
Community Smaller community support Backed by a large community of tech companies Stronger community support
Community Ease of Code Popularity Speed Debugging Level of API Architecture Dataset
Dataset Used for high performance models Used for small dataset Used for large datasets
Popularity Community Ease of Code Speed Debugging Dataset Level of API Architecture
Popularity TensorFlow PyTorch Keras
• Rapid Prototyping • Small Dataset • Best for Newbies • Large Dataset • High Performance • Functionality • Flexibility • Training Duration • Debugging Capabilities