Linked Questions

I am training a model (Recurrent Neural Network) to classify 4 types of sequences. As I run my training I see the training loss going down until the point where I correctly classify over 90% of the ...

Is the following hypothesis true ? If a simple neural network cannot overfit a single training sample, there is something wrong with its architecture or its implementation. To give you more ...

I have some troubles trying to set up a multilayer perceptron for binary classification using tensorflow. I have a very large dataset (about 1,5*10^6 examples) each with a binary (0/1) label and 100 ...

I'm attempting to use a sequence of numbers (of fixed length) in order to predict a binary output (either 1 or 0) using Keras and a recurrent neural network. Each training example/sequence has 10 ...

I am making a CNN with 6 classes. The 8400 training samples are batched into 84 batches of size 100. I run the model and print out the loss after every batch, the loss is always either 0.0 or some ...

I am trying to train a small MLP in Pytorch. Here is the code for the net: ...

I've trained fitnet network for prediction steel's yield stress with MATLAB ann toolbox. The neural network should predict yield stress. I have about 250 vector ...

I am trying to train a simple neural network for regression, where the underlying function is a quadratic. Training data is generated by this underlying function, and I am just trying to get a network ...

I'm trying to learn how to use PyTorch and to do so I pulled some Forex + COVID data I've used with other models in the past to predict the next-day exchange rate. The data has some COVID infection ...

I am a beginner to CNN and using tensorflow in general. I have been referring to this image classification guide to train and classify my own dataset. I have 84310 images in 42 classes for the train ...

I'm struggling with my model (below), since despite some hyperparameters tuning i always end with a sudden rise of the loss function and then a 'infinite" plateau. My hypothesis were: -learning ...

I am training a network to solve a regression problem using Keras. During training, the loss of my model goes directly from 7 to more than 300000 dramatically. Here is the training output: Here is the ...

I'm trying to find patterns in a large dataset using the neuralnet package. My data file looks something like this (30,204,447 rows) : ...

I have been designing a neural network to perform predictions on construction item costs. I've developed a core set of predictors that seem to describe the problem space well - they appear to be ...

I'm using Keras to build and train a recurrent neural network. ...