Keras
Demystifying Keras: A Powerful Deep Learning Framework
Understanding Keras
Keras is an open-source deep learning framework that provides a high-level neural networks API, written in Python and capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. It allows for easy and fast prototyping and supports both convolutional networks and recurrent networks, as well as combinations of the two. Keras was developed with a focus on enabling fast experimentation, and its user-friendliness and modularity make it especially suitable for research in the field of machine learning.​
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Applications of Keras
Keras has been widely utilized in various domains, such as image and speech recognition, natural language processing, and reinforcement learning. For example, it has been used in the development of image classification models, sentiment analysis algorithms, and generative adversarial networks (GANs) for the generation of synthetic data.​
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References
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F. Chollet et al., "Keras," GitHub. [Online]. Available: https://github.com/keras-team/keras .
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F. Chollet, "Keras," Keras.io. [Online]. Available: https://keras.io/.
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A. Géron, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems," O'Reilly Media, 2019.
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A. C. Müller and S. Guido, "Introduction to Machine Learning with Python: A Guide for Data Scientists," O'Reilly Media, 2016.
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D. Lopez, "Deep Learning with Keras," Packt Publishing, 2017.
