Shypd.aiThe largest open index of AI toolsDeep-Learning-with-Keras is an Open Source research & education tool that provides a code repository for the Deep Learning with Keras book. It includes practical implementations of supervised and unsupervised learning algorithms.
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Deep-Learning-with-Keras is an open-source code repository published by Packt, serving as a companion to the book 'Deep Learning with Keras'. It offers all the necessary project files to follow along with the book's content, from introductory concepts to advanced deep learning techniques. The repository covers supervised learning algorithms like linear regression, multilayer perceptrons, and Deep Convolutional Networks, as well as unsupervised learning algorithms such as Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks. It also delves into Recurrent Networks and Long Short Term Memory (LSTM) networks. Users can explore image processing tasks, including handwritten digit recognition, image classification, and object recognition with annotations, alongside an example of salient point identification for face detection. The code is organized into chapters, requiring software like TensorFlow, Keras, Matplotlib, Scikit-learn, and NumPy.
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