Examples of using Convolutional in English and their translations into Italian
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Examples of convolutional codes and their performance.
Several algorithms exist for decoding convolutional codes.
Run a convolutional neural net(CNN) on top of each of these region proposals.
Design, build, and visualize convolutional neural networks.
Convolutional codes- Tree, trellis and state diagrams of convolutional codes.
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The first class of turbo code was the parallel concatenated convolutional code PCCC.
Understand the basics of Convolutional Neural Networks(CNNs) and how they work.
Even in this case the most frequently used architectures are convolutional.
Trellis or block convolutional(rates from 1/2 to 13/14) depending on configuration.
In particular, max-pooling is often structured via Fukushima's convolutional architecture.
Learn how to train a convolutional neural network(CNN) to identify handwritten digits.
the use of convolutional neural networks.
Inception v3 is a cutting-edge convolutional network designed for image classification.
A convolutional neural network is trained on hundreds,
For this activity, many architectures based on convolutional network and RNN have been implemented.
In addition to convolutional networks, RNNs networks have also
Construction of classifiers with different levels of complexity(from Naive Bayes to convolutional network) for the recognition of handwritten or printed text.
The best known of the convolutional networks implemented for segmentation is the U-Net neural network.
the Graph Convolutional Neural Networks(GCNN).
The new system is called Deep Convolutional Generative Adversarial Networks(or DCGANs for short).
A convolutional neural network(CNN)
Forward error correction(FEC): non-recursive convolutional code with constraint length K 32, rate r 1⁄2.
Punctured convolutional codes are widely used in the satellite communications,
different coding processes to the stream(Reed-Solomon coding and convolutional coding with time and frequency interleaving).
The feed-forward architecture of convolutional neural networks was extended in the neural
Convolutional codes are used extensively to achieve reliable data
Turbo coding such as block turbo coding and convolutional turbo coding are used in IEEE 802.16(WiMAX),
Each of the two convolutional decoders generates a hypothesis(with derived likelihoods)
An especially popular Viterbi-decoded convolutional code, used at least since the Voyager
External interleaver: Convolutional interleaving is used to rearrange the transmitted data sequence, in such