Product Avatar Image

Keras

Show rating breakdown
65 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.6
Serving customers since
2016
Profile Filters

All Products & Services

Profile Name

Star Rating

46
18
1
0
0

Keras Reviews

Review Filters
Profile Name
Star Rating
46
18
1
0
0
Oliver G.
OG
Oliver G.
Sales Engineer at Tamr | PhD in Machine Learning/Nanoscience.
06/20/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

The best way of accessing tensorflow

Getting results with neural networks very wuickly
Dipak K.
DK
Dipak K.
Senior Research Fellow at Indian Institute of Science (IISc)
06/15/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

User friendly high level framework for developing deep neural networks

easy and quick implementation of a variety of neural network models. simple and easy to learn with vast support from the Keras community and documentation. I like the most about Keras is the high-level framework and runs on top of TensorFlow with single or multiple GPUs for faster computations. availability of pre-trained models such as VGGNET, RESNET, etc.
PC
poorna c.
06/08/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Keras, Best Deep Learning Framework with optimisers

The most liked feature of Keras is it wraps the large chunks of codes in inbuilt functions, it is easy to write or implement the ANN compare to TensorFlow, Well documented.

About

Contact

HQ Location:
N/A

Social

@keras

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