Linked Questions

I have taken text input then converted to a sequence of values and fed it to LSTM model where my loss is not reducing and accuracy is abnormal. The above image is about training and validation ...

I was trying to implement a genetic algorithm for the game 'tic tac toe'. How I am doing it at the moment is the following: Initiliaze 50 random networks Let each network play against each network. ...

Why is this toy example so difficult for neural net to learn? My guess is that the output of the first hidden layer is not normalized, so propagated gradient is not very stable. I've tried adding <...

I am working on a multiclassification problem using time series data. Three datasets are utilized in this study. My deep neural network performs satisfactorily across two different data sets. However, ...

I am training an LSTM network using Tensorflow 2, is there a way to debug it to see if its learning or to know what areas should be adjusted ? Is there a way to debug to know if its the data, the ...

So the problem is to perform a multiclass segmentation (255 classes of crops), and I am using a U-Net model for that. The input images are grayscale and the images of dimensions (128,128,1) are ...

I am training a feed-forward network on a regression problem (MSE error) to predict a scalar value 1x1 given an input of size Nx1. My batch size is 400 (though this problem is robust to multiple batch ...

I implemented ANN and my dataset have the first 100 data from class 1, and next 100 from class 2,..., and last 100 from class 10 (so I have 10 binary output units). I do back_propagation on my data to ...

I am using a CNN model for a binary classification task, with a total training data of 24000 sampler (Positive to negative sample ratio: 1:10). ...

I am trying to construct a model for single-label multiclass classification using Keras in a Jupyter notebook. Here's my model (or see full jupyter notebook): ...

What does it mean when my neural network always gets stuck at the exact number 8.6791 when I use binary-crossentropy loss? Some strange local minimum? It happens regardless of my learning rate, ...

I was going to implement a word embedding model - namely Word2Vec - by following this TensorFlow tutorial and adapting the code a little bit. Unfortunately, though, my model won't learn anything. I've ...

I wrote a program to classify MNIST with a vanilla neural net using sigmoid activation and back-propagation training. I tried to work through the math myself (because I want to understand things ), ...

I can't manage to train the MLPRegressor with 'lbfgs' algorithm to better R2 score than around -14. How comes? First I tried randomly guess the hidden layers shape, then I even tried to use Grid ...

I was working on a neural network project that uses this dataset; https://archive.ics.uci.edu/dataset/320/student+performance. The data has two main types of data. It has binaries (0 or 1) and ...