All Questions
Tagged with neural-network tensorflow
434
questions
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wierd neural network approache
I'm working on a problem where I need to create a neural network to optimize the seating arrangement for 24 unique individuals in a 6x4 grid, minimizing conflicts between adjacent (up,down,left,right) ...
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CS undergrad query about DS
why is learning DS so ambigious .you dont truly know what should you learn to actually do DS .web dev say has a clear path learn html css js and you can make something .i am a cs undergrad just want ...
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9
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Overfitting - Imbalance Classification using Deep-feed forward network
I have an unbalanced dataset, so I used SMOTEENN on the training set to resample, after training DFF,i could see the model is overfitting, could someone help me solve this?
Thank You.
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41
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Tensorflow SegNet architecture
I was unable to find a complete description of the SegNet architecture for image segmentation (specifically, the decoder layers). Therefore, I would like to clarify the correctness of my ...
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Using a neural network to predict disease outcomes in individual cases
I'm working on a research project with the goal of using a neural network to predict disease outcomes for patients. I've built a neural network using Tensorflow and Keras and I've trained and tested ...
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Neural network does not overfit my data. (Primarily linear function)
I am using TensorFlow and Keras. My goal is to approximate a primarily linear function that is partially nonlinear, such that a linear regression yields a Mean Absolute Error (MAE) of 0.13. All ...
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20
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Keras DNN outputs the same value over and over
I'm creating an ensemble of NNs with the same architecture, but each NN only outputs one value when given X_test data. The data (continuous values transformed to be [-1,1]) yields results as expected ...
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56
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How to balance labeled datas and then carry out execution with a certain ratio?
I'm building a binary classification model using a neural network, with python and the libraries tensorflow and keras.
For that I have an unequal amount of labeled data: Around 2'000'000 labeled with <...
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139
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Empty Confusion Matrix and Zero Precision/F-score
Could you please say why I'm getting this warning while doing a binary classification using Artificial Neural Networks? The data are colored images.
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- 101
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48
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Why the training accuracy stays high but validation accuracy does not change?
I have a binary classification problem. I get ROI mammogram images and then apply a decomposition algorithm and as output I get 5 images which summation of them results in the original image. Now, ...
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25
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Is there a Tensorflow built-in function to create a matrix from a single-layered feedforward neural network without activation functions?
In Tensorflow, I implemented a simple single-layer feedforward neural network with N inputs and N outputs without activation functions and biases. Simply, it is just a N-by-N matrix. Question: is ...
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139
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activation=tf.keras.activations.relu vs activation='relu'
Both models are for binary classification problems
Model 1
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49
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Confusion with tensorflow's Sequential Dense Layers
I'm working on a regression probem using Tensorflow, and have created two models with slight differences in their first Dense layer.
The Models
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25
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How to choose the right typt of ANN architecture for a regression model
So, im working on a project where i am leveraging ai to get accurate price predictions in terms of houses and real estate properties. I would like to use an artificial neural network so now i have to ...
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137
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Custom Loss Function Returns Graph Execution Error: Can not squeeze dim[0], expected a dimension of 1, got 32
I have built a loss function which adds time and frequency weighted averages and variances to the MSE:
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