I am trying to train a neural network for learning purposes using tesorflow.keras the network should take in a row vector of size 100. the row vector ...

Typically, when discussing stacking LSTMs (with independent weights), the cell and hidden states are unique to each individual cell and not shared bet ...

I need to convert a lot PDF tables data scans with bad quality to excel tables. The only way I see the solution is to train tesseract or some other fr ...

I am currently working on a custom multiagent DQN environment and my action_space is a list, for example [2,4,3,2,1]. Where actionlist[0] is the acti ...

The reason I am trying to overfit specifically, is because I am following the "Deep Learning with Python" by François Chollet's steps to designing a n ...

In the below neural network, the 2nd layer is non trainable. when calculating gradient for the 1st layer, however, will the 2nd layer participate in? ...

Say I have a 2-layer neural network and I want to make the second layer non trainable. So I initiate these variables and train them. The problem ...

I'm writing a Spiking Neural Network to monitor the structural health of a building. The dataset I have is a (129, 5651) Matrix containing the firing ...

I'm training a model with BERT for classification with two labels. I'd like to use cross validation, as I want to get an out of sample prediction of e ...

I am new to the theory and history behind Neural networks and came to know that our main neuron activation function is a linear expression that is of ...

I've worked with Autoencoders for some weeks now, but I've seem to hit a rock wall when it comes to my understanding of losses overall. The issue I'm ...

My neural network is stuck at 11.35 percent accuracy and i am unable to trace the error. low accuracy at 11.35 percent I am following this code https ...

Hi everyone I'm facing an issue after that I elaborate images and labels. To create an unique dataset I use the zip function. After the elaboration bo ...

i am trying to do a text classification using ANN. i used keras python which i got from internet to solve it. the number of words on my data is 1148 b ...

I think this is a comprehension issue, but I would appreciate any help. I'm trying to learn how to use PyTorch for autoencoding. In the nn.Linear func ...

I have evolved a neural network to learn y=x^2 using the neuralfit library, but I would like to save the model to do predictions later. I currently ha ...

My problem about the above code is in I understand from the code that Probs is NC and y is 1C. First of all is the shape of y 1*C ?The above code ...

Suppose a data has 9 features, and the label is 1 when the value of the third feature is greater than the value of the first feature and the value of ...

I am using weights = torch.load('file_name.pt') to read weights from a .pt file because I want to use the weights obtained to implement this neural ne ...

OS: Linux MINT GNU Octave, version 7.1.0 I would like to create a neural network in Octave. I have installed and load the following pkgs: However ...