“In that timespan, deep learning went from a niche academic topic to a massive industry employing millions.” Chollet is perhaps best known as the creator of Keras, a high-level, open-source ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Contribute to apurvareddyk/Advanced-Deep-Learning-Keras-TensorFlow development by creating an account on GitHub.

Runs seamlessly on CPU and GPU. Read the documentation at Keras.io. Keras is compatible with: Python 2.7-3.6. User friendliness. Keras is an API designed for human beings, not machines. It puts user ...

CNN2SNN tool provides means to convert convolutional neural networks using deep learning methods; and the Akida model zoo, a pre-created network models built with the Akida sequential API and the ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...