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📌 keras

🔗 https://github.com/keras-team/keras

📝 Deep Learning for humans

Stars: 62,411

🛠 Language: Python

🤖 AI Summary: Keras is an open-source project that aims to simplify the process of creating deep learning models. It's mainly designed for humans to easily use and understand deep learning without extensive knowledge in machine learning algorithms.

Keras is a high-level neural networks API, written in Python, and is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML, effectively providing a simple and convenient layer of abstraction.

The purpose of Keras is to promote user-friendly, fast, and easy practical deep learning experiments through its user-friendly and modular interface that supports both convolutional networks and recurrent networks. It also allows the combination of the two.

Keras' significance lies in its ability to promote experimentation and ease in model building. This makes it suitable for beginners who are looking to explore deep learning, and also for researchers who want the flexibility to build and test different models and techniques. In addition, its flexibility allows for easier adaptation in various use cases. For example, with Keras, a user could easily design a neural network, select training and evaluation procedures, and then train their model with a few lines of code.

In essence, Keras truly emphasizes the significance of its motto "Deep Learning for humans" by lowering the entry barrier to the world of artificial intelligence. It is recognized as one of the leading frameworks in deep learning due to its ease of use and accessibility.

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