dendrite | Dendrite is a second-generation Matrix homeserver
kandi X-RAY | dendrite Summary
kandi X-RAY | dendrite Summary
Dendrite is a second-generation Matrix homeserver written in Go. It intends to provide an efficient, reliable and scalable alternative to Synapse:.
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QUESTION
I am trying to create a Neural Network class made up of Neuron objects wired together.
My Neuron class has
- Dendrites
The number of dendrites is specified in the parameters when the class is initialised. The Dendrites are stored in a list whose index stores the voltages of each Dendrite. eg:neuron1.dendrites[2]=0.12
volts. - Activation (Threshold) Potential The sum of all the dendrite potentials provides the neuron potential. If this potential exceeds the Threshold Potential, my Neuron will fire. There are other neurons connected to the axon of my neuron. The Axon of my Neuron connects to the Dendrites of other Neuron objects. Several Dendrites from other Neurons may connect to the Axon of my Neuron. They will all receive a fixed voltage (outputVoltage) when my Neuron fires. It fires in an All-or-Nothing manner.
- Firing state
When the the Activation Potential is reached, the firing state = on (True) - My Neuron class also has a setConnections() method. This method receives a python
list
of Dendrites. In this method, I wish to iterate through my internal list of external Dendrites and reset their voltage values. This is not working. I cannot figure out why and so seek assistance here.
I provide a stripped down version of my code below:
...ANSWER
Answered 2021-Jun-29 at 01:34You aren't properly reassigning the values of outputDendrites in your class method.
QUESTION
My PyTorch model outputs a segmented image with values (0,1,2) for each one of the three classes. During the preparation of the set, I mapped black to 0, red to 1 and white to 2. I have two questions:
ANSWER
Answered 2020-Oct-08 at 16:32But there appears to be shared pixels between the classes, is there a better way to show this (I want the first image to only of the background class, the the second only of the neuron class and the third only of the dendrite class)?
Yes, you can take argmax along 0th
dimension so the one with highest logit (unnormalized probability) will be 1
, rest will be zero:
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