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-3
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0
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29
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Dataset model training is always biased (EEG signals dataset) [closed]
I'm currently having some issue with training the dataset for my final year project.. Domain of the project is AI/ML and IoT..
We collected Eog and emg signals and created our own dataset.. But ...
2
votes
1
answer
71
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skforecast insample predictions
Using skforecast, it's straightforward to perform out-of-sample predictions starting from the dates in the last_window_.index of a ForecasterRecursive object. However, I’m unable to find a clear ...
0
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1
answer
107
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AttributeError: 'list' object has no attribute 'to' (samples are actually a Tensor) [closed]
EDIT:
I'm training a model using a custom dataloader. The outcome from the dataloader is a list of tensors which cannot be processed by the main model because I have defined the sampler as samples = ...
1
vote
1
answer
66
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plot CART tree using a new dataset
I am a first-time CART user, and using the approach outlined in https://rpubs.com/camguild/803096 , I first split my data into two equally-sized training and test datasets. Next, I fit a CART on the ...
0
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0
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65
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lstm-unicharset file is unable to be created during tesseract training
I am trying to fine-tune an Optical Character Recognition (OCR) model on Tesseract's provided tesstrain repository for Japanese . I tried encoding the bash commands into Python in VSCode as I wanted ...
0
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1
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300
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Validation raises CUDA Out Of Memory Error despite training being fine
I am trying to train a model for spell check errors and corrections using T5-small model in colab notebook using T4 GPU. Initially I started with 10k reviews but gradually reduced it to 2k since I was ...
6
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3
answers
6k
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How to fix the transformer installation issue?
I am trying to train a T5 model based on spellcheck by providing it with a sample csv file in google colab. Initially I ran the code with my personal device (python locally installed) and it executed ...
0
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0
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29
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Input Batch Size in Keras and model.fit() batch size for Time Series Data
I am training an TCN model in Keras and have 9 individual trials of time-series data with an input shape = (9 trails/batches, 540 time steps for each trial, and 63 features).
I want to train the model ...
1
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0
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85
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Error When Using Batch Size Greater Than 1 in PyTorch
I'm building a neural network to predict how an image will be partitioned during compression using VVC (Versatile Video Coding). The model takes a single Y-frame from a YUV420 image as input and uses ...
0
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55
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How to solve this error using "trainNetwork" on Matlab
I am using code using the trainNetwork function with MATLAB to train and predict some data, however I am getting this error message "Invalid training data. Y must be a vector of categorical ...
0
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0
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66
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Tesseract Training Issue: "Couldn't find a matching blob"
I'm having trouble training Tesseract with my custom dataset.
Despite double-checking that my box file coordinates are correct and setting the image resolution to 300 DPI, I keep getting the error &...
0
votes
1
answer
47
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Train LSTM for time series with varying lengths
I'm training a LSTM for time series prediction, where data comes from sensors at irregular intervals. I'm using the last 5 min data to predict the next value, but some sequences are larger than others....
-1
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1
answer
65
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Keyboard detection algorithm
I am working on an algorithm for detecting keys and keyboard body from an image. The model of the keyboard is known, so a blender env. has been created to generate images with random lighting, angle, ...
0
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0
answers
56
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What should be the data format for a neural network with 2 inputs and a scalar output
I have a very simple network model: two named input ports, one summing layer, one linear layer and a scalar output. Despite many attempts, I cannot select a suitable data format that would be accepted ...
0
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69
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How can I get more images after augmenting each image?
I'm new to tensorflow. I want to generate more images after image augmentation but images and labels are (10, None, 400, 400, 3) and (10, None, 1) respectively and I guess it artifically count as 1 ...