All Questions
10 questions
0votes
2answers
120views
How do I improve my model accuracy and val_accuracy for my cnn model?
I'm using 3000+ retinopathy images in my CNN model. The accuracy remains around 77 to 80, how do i improve the accuracy value and reduce loss value? I've tried dropout and Adam optimizer to increase ...
0votes
0answers
20views
Training Image Classifier with 7 classes but my model is overfitting resulting the accuracy of the model to behave weirdly during training
I am training an image classifier for 7 different model types of a specific car engine parts. Each class has exactly 308 grayscale images with the same resolution of 1014x760. Those images consists ...
0votes
1answer
47views
Keras accuracy does not change for multi-output module
I want to predict the penalty/punishment given for fraud cases, with inputs in the form of (damage amount(\$), if recidivism), and targets in the format of (fine(\$), jail(months), community service(...
1vote
0answers
148views
Is a true RNN auto encoder possible with Keras/TF
I want to get some encodings for temporal data (with a highly varying number of timesteps). The dataset is of the format: ...
1vote
0answers
171views
How to design my Neural Network for Game AI
For my school project, I have to develop an agent to play my game. The base I have is a 'GameManager' which call 2 AIs, each taking a random move to do. To make my AI perform, I decided to make a ...
3votes
1answer
775views
Binary mode or Multi-label mode is correct when using binary crossentropy and sigmoid output function on multi-label classification
I would like to ask a question about the relationship of accuracy with the loss function. My experiment is a multiclass text classification problem, and I have built a Keras neural network to tackle ...
- 131
1vote
0answers
74views
Neural Network Results always the same
I have a GRU model which has 12 features as inputs and I'm trying to predict output power. I really do not understand though whether I choose 1 layer or 5 layers 50 neurons or 512 neuron 10 epochs ...
- 123
4votes
2answers
180views
Using a neural network to identify a stable region within a set of data?
I am working on a problem in which I am attempting to find a stable region in a spiral galaxy. The PI I'm working with asked me to use machine learning as a tool to solve the problem. I have created ...
2votes
0answers
175views
Mapping Actions to the Output Layer in Keras Model for a Board Game
I have created a game based on this game here. I am attempting to use Deep Q Learning to do this, and this is my first foray into Neural networks (please be gentle!!) I am trying to create a NN that ...
4votes
1answer
686views
Convolutional Layers on a hexagonal grid in Keras [closed]
Keras' convolutional and deconvolutional layers are designed for square grids. Is there was a way to adapt them for use in hexagonal grids? For example, if we were using axial coordinates, the input ...
