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  2. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library , and later supporting more.

  3. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    In a convolutional layer, each neuron receives input from only a restricted area of the previous layer called the neuron's receptive field. Typically the area is a square (e.g. 5 by 5 neurons). Whereas, in a fully connected layer, the receptive field is the entire previous layer. Thus, in each convolutional layer, each neuron takes input from a ...

  4. Layer (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Layer_(Deep_Learning)

    The Recurrent layer is used for text processing with a memory function. Similar to the Convolutional layer, the output of recurrent layers are usually fed into a fully-connected layer for further processing. See also: RNN model. [6] [7] [8] The Normalization layer adjusts the output data from previous layers to achieve a regular distribution ...

  5. Pooling layer - Wikipedia

    en.wikipedia.org/wiki/Pooling_layer

    In neural networks, a pooling layer is a kind of network layer that downsamples and aggregates information that is dispersed among many vectors into fewer vectors. [1] It has several uses. It removes redundant information, reducing the amount of computation and memory required, makes the model more robust to small variations in the input, and ...

  6. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    In 2010, Tomáš Mikolov (then at Brno University of Technology) with co-authors applied a simple recurrent neural network with a single hidden layer to language modelling. [ 6 ] Word2vec was created, patented, [ 7 ] and published in 2013 by a team of researchers led by Mikolov at Google over two papers.

  7. Unsupervised learning - Wikipedia

    en.wikipedia.org/wiki/Unsupervised_learning

    Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1] Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision.

  8. Perfectly matched layer - Wikipedia

    en.wikipedia.org/wiki/Perfectly_matched_layer

    The striped borders correspond to perfectly matched layers, which are used to simulate open boundaries by absorbing the outgoing waves. A perfectly matched layer ( PML ) is an artificial absorbing layer for wave equations , commonly used to truncate computational regions in numerical methods to simulate problems with open boundaries, especially ...

  9. Layer (object-oriented design) - Wikipedia

    en.wikipedia.org/wiki/Layer_(object-oriented_design)

    In software object-oriented design, a layer is a group of classes that have the same set of link-time module dependencies to other modules. [1] In other words, a layer is a group of reusable components that are reusable in similar circumstances. In programming languages, the layer distinction is often expressed as "import" dependencies between ...