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Keras
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Keras implementations of Generative Adversarial Networks.
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gabrieldemarmiesse
commented
Jan 20, 2020
Adding types on the public API surface would allow us to do some runtime type checking later on and would allow user's IDE to have more info for static analysis.
The functions/signatures to type are the ones listed here https://github.com/keras-team/autokeras/blob/master/autokeras/__init__.py
For the context, see #856 where I add some type information on a ImageClassifier.
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Set up deep learning environment in a single command line.
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Introduction to Deep Neural Networks with Keras and Tensorflow
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Neural network visualization toolkit for keras
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Apr 20, 2020 - Python
Created by François Chollet
Released March 27, 2015
- Organization
- keras-team
- Website
- keras.io
- Wikipedia
- Wikipedia
Bug Report
These tests were run on s390x. s390x is big-endian architecture.
Failure log for helper_test.py