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