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I have build a circuit on epoxy protoboard with 1,5mm^2 wires. When the circuit is stressed it can consume 5 Amps@12 Volt. Generally I have no experience on that much currents. I am thinking of using a fan for cooling. What is your opinion??
Hello, I have a circuit developed in protoboard that in some pads the Amperes will be 3 Amperes - 5 Amperes. Because I have no experience with that much currents, can you guide me? I thought of enlarging the conductor made of pads and using 2 pads to make conductors from one element to another...
Does this:
https://www.provantage.com/asus-tinker-edge-t~7ASUS3KX.htm\
have any difference with this:
https://coral.ai/products/dev-board/
?? For example can I train a custom CNN? Can I use tensorflow, keras, etc?? Has anyone experience to give an advice?
Thanks...
Is there any essential diferrence as far as training time is concerned between a CNN running on a FPGA and the same CNN accelerating on Google Coral Dev board? What I mean, is this: can I achieve faster training by using Google Coral Dev board instead of a FPGA?
I am very specific, on what I am saying. I said "I think".. .From the level "I think" Ι have the code correctly to the level "it works efficiently" is far too much far. I think I need a few weeks/months to have something working properly...
There are online tools for this work, I didn't invent...
I want to accelerate CIFAR-10 dataset on a Virtex 5 FPGA. I think I have built correctly the CNN on VHDL. My question is how I load the dataset on the FPGA? Or should I send the images through another device/laptop on the FPGA? I thought also of using SPI/I2C/UART/Ethernet but seems this makes a...
What should I change in this code:
# baseline model with data augmentation on the cifar10 dataset
import sys
from matplotlib import pyplot
from keras.datasets import cifar10
from keras.utils import to_categorical
from keras.models import Sequential
from keras.layers import Conv2D
from...
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