Linked Questions

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1answer
2k views

Keras - text classification, overfitting, and how to improve my model? [duplicate]

i am developing a text classification neural network based on this two articles - https://github.com/jiegzhan/multi-class-text-classification-cnn-rnn https://machinelearningmastery.com/sequence-...
1
vote
1answer
212 views

My Neural Net can overfit but not generalize [duplicate]

I have created a Neural network that gets its training data from a complicated physics simulation. I run the simulation by randomizing 7 different inputs. Each input can be 1 of 4 discrete values. I ...
1
vote
0answers
142 views

Why is my keras resnet50 model overfitting? [duplicate]

I have applied Keras ResNet-50 on a small x-ray image dataset. I tried making layers both trainable and non-trainable, but my model validation accuracy doesn't improve above 50%. I don't understand ...
7
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1answer
84 views

How to prevent overfitting? [duplicate]

I'm aware of the concept of overfitting in Machine Learning. The main advice for dealing with it, usually is regularization. Is there other practical advice to avoid overfitting?
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0answers
94 views

How can I reduce the noise of prediction graph? [duplicate]

I am trying to use LSTM to predict a time series data as you can see in the following image, the predicted graphs is very noisy: The original data is looking like this: That I normalized it like ...
0
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0answers
57 views

How does ReLU deal with negative inputs? [duplicate]

I'm replicating this paper for my PhD, which says that they are using deep learning to predict stock returns. So the inputs are (mostly) continuous variables that can be negative and positive. Outputs ...
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0answers
51 views

Keras: validation loss decreases but accuracy does not increase [duplicate]

I am working on the development of a deep learning model for prediction of a disease from medical images. It is a binary classification algorithm. I am currently using a model built from scratch with ...
2
votes
1answer
35 views

Neural Network - Estimating Non-linear function [duplicate]

I am fairly new to neural networks. I am trying to empirically show that a neural network can work better than logistic regression when the underlying function is non-linear. In my simulation study, ...
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0answers
45 views

Neural Network Accuracy Bouncing Around and Never Going Over 50% Accuracy [Not Duplicate] [duplicate]

My NN accuracy is bouncing between .29 and .37. Sometimes it starts at .5, but then decreases as it continues. The loss also bounces around, decreasing, increasing, and generally staying around 1. The ...
0
votes
1answer
39 views

How to prevent the keras convolutional neural network model to over-fit? [duplicate]

I want to build a convolutional neural network and train it to recognise whether the digit is 0 or 1. Example of my training data is a 800 * 600 gray scale image containing a digit one: I have 22 ...
4
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0answers
21 views

What are the most common techniqes for preventing overfitting? [duplicate]

How is this issue dealt with, in practice?
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0answers
25 views

why Isn’t my neural network model working well for deep architecture compared to shallaow? [duplicate]

I’ve recently started learning about neural networks and currently am working on a NN to classify images of a cat vs non cat. I’ve built an option of customizing the number hidden layers and nodes per ...
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0answers
22 views

How to optimise 3-layered NN for regression predictions? [duplicate]

I'm trying to train a NN model on a regression dataset and trying to predict capacity. The size of dataset is 20773. My model is as: ...
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0answers
21 views

What do I do when my deep learning model in CNN does not learn? [duplicate]

I'm training on a skewed image dataset of 5000 images with class weights. The training loss decreases well and swift, but the validation-set loss fixates after around 6 epochs. I have tried using my ...
0
votes
0answers
17 views

getting low precision for deep neural netwok [duplicate]

iam working on a deep neural network (DNN) model to classifie object into two classes ( 0 , 1) , iam using keras api to build and train the model architecture i build below: ...

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