Keras
65 reviews
- 1 profiles
- 1 categories
Average star rating
4.6
Serving customers since
2016
Keras Reviews
PN
Phuong N.
Growth Analyst at SwissBorgKeras is a practical, easy to use package
Keras is very easy to use, even for beginners that have basic Python programming skills.
Even complex deep learning models can be built just with a few lines of codes. The biggest advantage is running time: the codes execute pretty fast.
Besides, code examples are intuitives and readily availables. The documentation is built with care and attention and there are answers for almost every issues. I always find what I need to solve my problem.
AL
Argyrios L.
Data AnalystGreat way to take new steps in Deep Learning!
Easy of use when it comes to model creation and implementation. In general I like of how naturally the Keras methods are executed like original python methods. Overall, the focus on user experience is what makes Keras approachable by interns like me.
VK
Vaishak K.
Machine Learning Fellow at Fellowship.AIEasy to learn and customisable
Keras has a very simple api which is easy to learn for Machine Learning practitioners. Whether using an in-built model or building a custom model, Keras is very intuitive to use. It is a must have package for any Data Scientist/ ML Engineer.
About
What is Keras?
Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library, streamlining the process of building and training deep learning models with its high-level, user-friendly APIs. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible. The website https://keras.io serves as a comprehensive resource for developers, offering detailed documentation, tutorials, and a community forum to help both beginners and experienced users in crafting state-of-the-art deep learning models efficiently.
Details
Year Founded
2016
Website
keras.io