All Questions
Tagged with neural-network keras
661
questions
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46
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Why can't I replicate the results from this paper?
I'm trying to train a model to evaluate chess positions, following the methodology from this paper (note that the author presents several different architectures, but I'm only looking at the ANN with ...
0
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1
answer
57
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Is it possible to train a neural network to feed into a Random Forest Classifier or any other type of classifier like XGBoost or Decision Tree?
I want to create a model architecture to predict future stock price movement as such:
The Goal of this model is to predict if the price will go UP or DOWN within the next 3 months.
I have tried a few ...
- 1
0
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0
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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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1
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1
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50
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Does using different optimizer change the loss landscape
I plot the landscape using this code, and I notice the landscape shape has changed a lot. My understanding is that the optimizer does not change the loss landscape. But now I'm confused if its just ...
- 127
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1
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26
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How do I ensure final output shape matches input shape for a semantic segmentation task?
I trying to replicate the semantic segmentation example
https://keras.io/examples/vision/oxford_pets_image_segmentation/
but train on my own data. I have 8 labels (7 features + background). My images ...
0
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0
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10
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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 ...
0
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1
answer
23
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Connecting Flatten layer to Dense layer
I'm struggling with my neural network.
In short, I need to recreate a model from anywhere on the internet, I've found a model that combines BiLSTM, LSTM and GRU. However, based on the error I got when ...
0
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1
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37
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My custom neural network is converging but keras model not
in most cases it is probably the other way round but...
I have implemented a basic MLP neural network structure with backpropagation. My data is just a shifted quadratic function with 100 samples. I ...
0
votes
1
answer
31
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What exactly is saved when I save a NN?
After we trained a Neural Network, we can save it in order to be able to predict without re-training. So when we use model.save('my_model.keras') what exactly is ...
- 163
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18
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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 ...
0
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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 ...
1
vote
1
answer
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 <...
- 13
0
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0
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20
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Why isn't the validation data loss close to the test data loss?
First I set aside about 15% of my data as test data. Then, I used tensorflow.keras to create a relatively simple neural net model. Then I set the model.fit() parameter validation_split=0.2, so 20% of ...
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2
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1
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132
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Why the test accuracy showing some odd behaviour in comparison to train accuracy?
I am currently training an ANN using Sequential(a class from Keras API within tensorflow), and I am optimizing the model's architecture and came across something I have not seen before.
The graph of ...
- 23