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  • tensor – Types and Ops for Symbolic numpy

    519 2020-04-11 《Theano 1.0 Document》
    tensor – Types and Ops for Symbolic numpy tensor – Types and Ops for Symbolic numpy Theano’s strength is in expressing symbolic calculations involving tensors.There are many ty...
  • tensor – Types and Ops for Symbolic numpy

    tensor – Types and Ops for Symbolic numpy tensor – Types and Ops for Symbolic numpy Theano’s strength is in expressing symbolic calculations involving tensors.There are many ty...
  • Word2Vec

    Word2Vec, Doc2vec & GloVe: Neural Word Embeddings for Natural Language Processing Introduction to Word2Vec Neural Word Embeddings Amusing Word2Vec Results Just Give Me the Code...
  • Plugin settings

    Plugin settings Alerting plugin settings Anomaly Detection plugin settings Asynchronous Search plugin settings Cross-Cluster Replication plugin settings Flow Framework plugin s...
  • Plugin settings

    Plugin settings Alerting plugin settings Anomaly Detection plugin settings Asynchronous Search plugin settings Cross-Cluster Replication plugin settings Flow Framework plugin s...
  • Ingest processors

    Ingest processors Supported processors Ingest processors Ingest processors are a core component of ingest pipelines . They preprocess documents before indexing. For example, y...
  • Fashion image search

    Fashion image search Fashion image search A simple image neural search demo for Fashion-MNIST . No extra dependencies needed, simply run: jina hello fashion Tip …or even ea...
  • 1.深度前馈神经网络

    深度前馈网络 深度前馈网络 深度前馈网络(deep feedfoward network )也称作前馈神经网络(feedforward neural network )或者多层感知机(multilayer perceptron:MLP ),它是最典型的深度学习模型。 卷积神经网络就是一种特殊的深度前馈网络。 深度前馈网络也是循环神经网络的基础。...
  • 噪声层 Noise

    GaussianNoise GaussianDropout AlphaDropout [source] GaussianNoise keras . layers . GaussianNoise ( stddev ) 应用以 0 为中心的加性高斯噪声。 这对缓解过拟合很有用(你可以将其视为随机数据增强的一种形式)。高斯噪声(GS)是...