Consider a housing price dataset, where the goal is to predict the sale price. I would like to do this by predicting the "Sale price per Squar
So I'm trying to learn how to use Yolox for my bachelor thesis, and after hours of installing and updating components, finally managed to run Yolox on a test im
I have a question. I am currently generating training data for my bayesian network as follows: (also as code down below) -> infected stands for people who a
I need to train a dataset with 100 classes. Each class has 200 images. Has anyone trained such a large dataset using yolo v5 previously? What GPU have you requi
I have a question. I trained a YOLOV4 model for face detection and when i tried to look at the output on Neutron i found that the Bounding Box
I have a train and test dataset. On the train dataset I detected and deleted outlier values, when their standard deviation is 5 times greater from the mean. If
I am trying to train Unet model with the following parameters: droput_: 0.2, activation_: sigmoid, activation_inner_: relu, learning_rate_: 0.0001, epsilon_: 1
I was trying to develop some way to convert annotations between formats, and it's quit hard to find information but here I have : This one is PASCAL VOC <wid
I am trying to solve the 3-bit parity problem using the functional link neural network (Pao,1988). I am performing backpropagation to update the weights and ext
I'm traning on codility now. Some tasks I can solve by myself, but with some tasks have problems. Difficulty of this task is <**>. It's medium, but I stal
I am working on ML and for training my data, I used these functions. What I already did in this: I already apply replacing the value of X in it. Code: from skle