Questions tagged [deep-learning]
Deep Learning is an area of machine learning whose goal is to learn complex functions using special neural network architectures that are "deep" (consist of many layers). This tag should be used for questions about implementation of deep learning architectures. General machine learning questions should be tagged "machine learning". Including a tag for the relevant software library (e.g., "keras", "tensorflow","pytorch","fast.ai" etc) is helpful.
deep-learning
27,937
questions
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How can I solve the UnicodeDecodeError?
I tried to train faster rcnn with my dataset but i always get this error. "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xfd in position 118: invalid start byte".
here is the all ...
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votes
1
answer
10
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The "accelerate" package version not compatible with transformers library
I'm going through the Huggingface tutorial. In this section, I met a problem with this code:
from transformers import TrainingArguments
training_args = TrainingArguments("test-trainer")
...
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4
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"Can't load feature extractor for 'facebook/wav2vec2-large-960h-lv60-self" Error when I try to extract Audio Features
The Code
processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
model = Wav2Vec2Model.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
...
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1
answer
20
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Dealing with long context prompts in mistral 7B [closed]
I am working with Mistral 7B model on Kaggle notebooks. In my case, I will pass information to the prompt and I want the model to extract the functional needs from the document. For example, I pass it ...
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8
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CRNN OCR, issue with dynamic width of images. How to tackle and resolve this ?. Need to train on images with different width
I am creating a ocr for urdu. I bucket my data into n number of buckets based on their widths. means all images whose widths are less than 400px are all reshaped to have width of 400px and are stored ...
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answers
18
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Serious delays in Keras before training the neural network
I'm creating a NN that has 2 levels.
At the first level, there are several small neural networks that should have a good generalizing ability for the data being fed to them. At the second level there ...
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answers
5
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CNN Predicting Random Images
I have Trained the model with CNN. The MODEl i have Trained for Binary classification with chest - X - Ray images. Even after training the model. Model is predicting Random images like cars, animals ...
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16
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problem on state representaion Finrl StockTradingEnv
i'm trying to adjust and apply my own trading strategies on Finrl meta environment and ensmeble agent method. in this process i decide to add some new features which are produced by a neuran network ...
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1
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29
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Image stitching using Poisson Blending
Background
I'm working on an image stitching project using the Poisson blending method. I found a repository on GitHub that deals with the same problem (https://github.com/erman18/poison-blending-...
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20
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Issues about CIFAR-10 and transfer learning [closed]
I've tried many and many times, and it doesn't work at that line:
history = model.fit(train_generator, epochs=200, steps_per_epoch=167,
callbacks=[modelcheckpoint],
...
1
vote
1
answer
36
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How do I define/change the accuracy for a non-classification convolutional neural network?
I'm using Keras to make a prediction model. It takes in two time series and outputs a number between 0 and 1. Currently, I am getting very low accuracy as the model is only considered "correct&...
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30
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My tensor values in the prediction are too low
I'm training a semantic segmentation model, using PyTorch and the U-net architecture. The dataset consists of retinography images, with masks of exudate diseases. And I have a problem with ...
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0
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21
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Fine-tuned Mask2Former model only returning null-tensors after training
I have written code to fine-tune a mask2former model. However when running inference on it, it always just returns a null-tensor.
Now the model gets trained with a (384, 384) RandomCrop of a (1080, ...
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22
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How to Improve Tree Detection and Counting in Forest Satellite Imagery Using Pretrained Models? [closed]
I am developing an AI-powered forestry management system to monitor and analyze tree populations using satellite imagery from Google Earth. The primary goal is to count trees accurately and identify ...
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21
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I have a python problem in case of data model predictions [closed]
I have a block of codes that isnt working as it should, after traning the datasets and doing all that is required my face mask detection system isnt detecting when user wear mask
I tried using ...
