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  2. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    In a neural network, batch normalization is achieved through a normalization step that fixes the means and variances of each layer's inputs. Ideally, the normalization would be conducted over the entire training set, but to use this step jointly with stochastic optimization methods, it is impractical to use the global information.

  3. Normalization (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(machine...

    Layer normalization (LayerNorm) [13] is a popular alternative to BatchNorm. Unlike BatchNorm, which normalizes activations across the batch dimension for a given feature, LayerNorm normalizes across all the features within a single data sample. Compared to BatchNorm, LayerNorm's performance is not affected by batch size.

  4. Dilution (neural networks) - Wikipedia

    en.wikipedia.org/wiki/Dilution_(neural_networks)

    On the left is a fully connected neural network with two hidden layers. On the right is the same network after applying dropout. Dilution and dropout (also called DropConnect [1]) are regularization techniques for reducing overfitting in artificial neural networks by preventing complex co-adaptations on training data.

  5. Comparison of file transfer protocols - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_file...

    The "Managed" column indicates whether the protocol is designed for managed file transfer (MFT). MFT protocols prioritise secure transmission in industrial applications that require such features as auditable transaction records, monitoring, and end-to-end data security. Such protocols may be preferred for electronic data interchange. [38]

  6. B.A.T.M.A.N. - Wikipedia

    en.wikipedia.org/wiki/B.A.T.M.A.N.

    The Better Approach to Mobile Ad-hoc Networking (B.A.T.M.A.N.) is a routing protocol for multi-hop mobile ad hoc networks which is under development by the German "Freifunk" community and intended to replace the Optimized Link State Routing Protocol (OLSR) as OLSR did not meet the performance requirements of large-scale mesh deployments.

  7. Understanding eligible expenses for HRAs, QSEHRAs, and ICHRAs

    www.aol.com/understanding-eligible-expenses-hras...

    HRAs, QSEHRAs, and ICHRAS. Understanding the differences in eligible expenses between HRAs, QSEHRAs, and ICHRAs can help businesses determine which type of plan best fits their needs.

  8. TCP congestion control - Wikipedia

    en.wikipedia.org/wiki/TCP_congestion_control

    TCP New Reno, defined by RFC 6582 (which obsolesces previous definitions in RFC 3782 and RFC 2582), improves retransmission during the fast-recovery phase of TCP Reno. During fast recovery, to keep the transmit window full, for every duplicate ACK that is returned, a new unsent packet from the end of the congestion window is sent.

  9. MIL-STD-1553 - Wikipedia

    en.wikipedia.org/wiki/MIL-STD-1553

    When developing or troubleshooting for MIL-STD-1553, examination of the electronic signals is useful. A logic analyzer with protocol-decoding capability, also a bus analyzer or protocol analyzer, are useful tools to collect, analyze, decode and store the waveforms of the high-speed electronic signals.