User Portlet
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| Hi, My dataset consists of 192 one-hot encoded feature-bits that I have compressed to 24 bytes. The entire compressed feature-set is loaded in RAM as a ByteArray. The labels are loaded in RAM as a floating-point array. I have defined a generator... |
| Hi, I have a dataset of 192 binary inputs (0/1) and corresponding outputs. I have compressed the inputs to 24 8-bit integers, so that the entire dataset can fit into RAM which greatly speeds up training of the neural network. Obviously, before a... |
| Hi, I have a dataset of 192 binary inputs (0/1) and corresponding outputs. I have compressed the inputs to 24 8-bit integers, so that the entire dataset can fit into RAM which greatly speeds up training of the neural network. Obviously, before a... |
| Hi, I have 192 0/1 inputs for a neural network that are packed as 24 8-bit integers. These have to be unpacked before training, for example by using Flatten[IntegerDigits[#, 2, 8]]. When I try to use this expression within a FunctionLayer I am... |
| Hi, I have a dataset of 192 binary inputs (0/1) and corresponding outputs. I have compressed the inputs to 24 8-bit integers, so that the entire dataset can fit into RAM which greatly speeds up training of the neural network. Obviously, before a... |
| Hi, After some lengthy troubleshooting I managed to narrow down the issue to the title. I am running Mathematica 13.1 on Zorin OS 16.2. Anyone else seeing this? Thanks, GW |
| Hi, I want to use a custom LossFunction (in particular, a loss function that calculates the q'th percentile of the absolute differences), but I cannot figure out how to do this from the documentation. Through some educated guessing I found out... |
| I am running Mathematica 13.1 on Zorin OS 16.1. I just upgraded CUDA to version 11.7 but CUDALink now raises the following error: Directory /usr/local/cuda-11.6/bin does not exist. Is CUDA 11.7 already supported? Thanks, GW |
| Hi, As MeanSquaredLossLayer did not seem a suitable LossFunction for my network, I wanted to try other LossFunctions. The documentation says that you can use 'any network with an "Input" and optional "Target" port' as a LossFunction, but it was not... |
| Hi, This is the first time I am using neural networks in Mathematica, and I need some help. My input consists of vectors of 50 elements, with values between [-1, 1] . The output is a value between [0, 1]. I have 1.000.000 vectors for the training... |