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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual block in a deep residual network. Here, the residual connection skips two layers. A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs.

  3. 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. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...

  4. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44]

  5. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    VLFeat, an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation. LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem.

  6. Capsule neural network - Wikipedia

    en.wikipedia.org/wiki/Capsule_neural_network

    A capsule neural network (CapsNet) is a machine learning system that is a type of artificial neural network (ANN) that can be used to better model hierarchical relationships.

  7. If Trump goes big on tariffs, lawsuits are likely to follow

    www.aol.com/finance/trump-goes-big-tariffs...

    At the center of the likely legal questions to come are long-dormant presidential powers that could allow for both higher duties than those seen in Trump 1.0 — and a quicker implementation.

  8. DeepSpeed - Wikipedia

    en.wikipedia.org/wiki/DeepSpeed

    The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training.

  9. NOTICE OF INTENTION TO SUE PURSUANT TO 30 U.S.C. ยง 1270(a)(2)

    images.huffingtonpost.com/2009-09-12-citizens...

    errors in PADEP’s program implementation are its failures (a) to require permit applicants to provide adequate baseline cumulative hydrologic information concerning concentrations of arsenic, cadmium, chromium, lead, nickel, selenium, sulfate, or zinc in each water resource within each