Product Information

400023"G

400023"G electronic component of Adaptive

Datasheet
INSULATOR
Recurrent Neural Network 400023G is a recurrent neural network that can learn to adapt to changing data.
Manufacturer: Adaptive
This product is classified as Large/Heavy, additional shipping charges may apply. A customer service representative may contact you after ordering to confirm exact shipping charges



Price (USD)

1: USD 1.2246 ea
Line Total: USD 1.22

0 - Global Stock
MOQ: 1  Multiples: 1
Pack Size: 1

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Availability Price Quantity
0 - WHS 1


Ships to you between Thu. 23 May to Wed. 29 May

MOQ : 1
Multiples : 1

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400023"G
Adaptive

1 : USD 1.2246
100 : USD 1.1622
250 : USD 1.1154
500 : USD 1.0608
1000 : USD 1.0218

Read More Specifications

     
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Additional Infomation About Product

Spiking Networks A subset of Adaptive Spiking Networks, 400023G consists of special neurons that have the ability to process certain signal inputs in a specific way. These neurons are capable of making decisions on patterns in the signal that are of importance for its applications. As the neurons become intelligent and form memories, they are able to more efficiently process inputs and adjust their behavior accordingly. At the core of 400023G lies a neuron population called "Latent Entropy Neurons". These neurons make use of acausal learning algorithms and perform unsupervised learning to enable them to recognize the pattern in the signal. Such neurons can then be used to develop networks capable of highly efficient decision-making, making it a great option for applications requiring robust and adaptive responses.

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