Questions tagged [deep-learning]
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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Troubles using unsupervised domain adaptation
Hope somebody can help me, I've been stucked on this and there's no way I can find the origin of my problem...
So I have a model that I have fine-tuned, it's a resent18 that looks like this (I'm just ...
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How weight vector behave when we initialize the weight to 0 in case of perceptron
While reading in book i encountered this statement
Now, the reason we don't initialize the weights to zero is that the learning rate (eta) only has an effect on the classification outcome if the ...
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Understanding Divergence in LSTM Units with Zero Initialization and Shared Weights?
I'm trying to understand how LSTM units can diverge over time when they start with zero initialization and share the same weights. Here are the key points of my confusion:
Initialization: All units ...
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Everything is classified as background by segmentation model
I am training a U-NET model for medical image segmentation. Problem is that the binary masks that im using to train the model mostly consist of background pixels and a very small region of the whole ...
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Advice on deep learning PC build using dual 4090s
I’m an engineering grad student, and I’ve been tasked with finding parts for building a shared workstation for my lab. Our work includes deep learning, computer vision, network analysis, reinforcement ...
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Level of confidence for binary classification
I’m relatively new to PyTorch and deep learning. I was able to create a model and analyze a data set for both a training and test set in a binary classification problem. Everything is working well. ...
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How to increase the optimial cutoff point(youden index) after training a model?
So I trained a model based on a medical dataset and and I got an AUROC for detecting cancer in brain images as about 0.96 and i noticed that the youden index is 0.1 but i want to increase it to 0.5 , ...
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Mobilenetv2 transfer learning
Goal:
Transfer learning Mobilenetv2 (input size 224x224 and it's own preprocessing (resize + central_crop + normalization)) as encoder for Unet with input size 512x512 using pytorch.
What I've done:
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WGAN generating images from the training data
Is it possible for gan to remember somehow training data distribution?
Or maybe somеthing leaks out when I calculate gradients?
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RL Agent won't learn no matter what I try
I am trying to make an RL model for reinforcement learning, and the environment is fairly simple and a 10x10 grid. During the training phase, it reaches the goal. But when I try to test this, The ...
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Multi_Target Classification
I have 24 columns for banking hyper-personalized recommendation engine for providing offers for the customers. So, the offer columns provided have two target variables. What approach would be correct ...
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How to pass feature value to custom loss in Keras
I am using a custom loss to train my model and want to use feature value to have a differential loss, something like
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Understanding the Impact of Different Scalers on Deep Learning Model
I am working on a regression task with a dataset that has a heavy right-skewed distribution, and the labels are always positive values. I have preprocessed the labels (features are always scaled using ...
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What Package/Algorithm should I use to classify the pixels of a pigs eye in an infrared picture of a pig?
Im a college student working on a project that involves identifying eye features in infrared pictures of pigs so that we can apply a FEM mesh to it and do computations (we haven't created the mesh yet,...
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RuntimeError: Boolean value of Tensor with more than one value is ambiguous
I am trying to get boolean outputs {0,1} for my neural network. My final output is a real value e.g. r and I wanted it to be 0 if r <= 0 and be 1 if r >1. To do this, I did the following code in ...
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