Is the GlobalAveragePooling1D Layer the same like calculating the mean with a custom Lambda Layer? The data is temporal, so x has shape (batch, time, features)
Does PyTorch's nn.Embedding support manually setting the embedding weights for only specific values? I know I could set the weights of the entire embedding laye
I'm trying to make a single variable regression using decision tree regression. However when I'm plotting the results. Multiple lines show in the plot just like
I have Keras model: pre-trained CV model + a few added layers on top I would want to be able to do model.predict before model.fit Q: how do I instantiate model
While training the model, I encountered the following problem: RuntimeError: CUDA out of memory. Tried to allocate 304.00 MiB (GPU 0; 8.00 GiB total capacity; 1
How can you measure how secure or private the new variables are relative to the real (actual) variables. I want to compare homomorphic encryption and differenti
I'm currently tackling a classification problem that needs prediction of the order of objects in a sequence, but not the object class itself. I've spent quite s
I have bunch of text data describing people's eduation. I have already done some basic NLP processing to those text data. An example would be this : XXX receive
I used Detectron2 to train a custom model with Instance Segmentation and worked well. There are several Tutorials on google colab with Detectron2 using Instance
I am trying to predict a single output value,y, using two input features. I read that regression models usually don't use any activation function, and even when
I am using Java API of vowpal wabbit to get predictions. I need raw prediction (same as -r output.txt) but I couldn't find any such method in VWMulticlassLearne
I have a project to hand in which requires me to develop a program in python which would recognise handwritten numbers given in the form of image(i imagine the
I am quite new to Julia so I maybe missed the proper documentation. Is it possible to define a PDESystem in ModelingToolKit with symbolic BCs and Domain for arb
I am trying to use BART pretrained model to train a pointer generator network with huggingface transformer library. example input of the task: from transformers
This is my data. I created a model with CatBoostClassifier(). I can get the feature names list with: >>> model.feature_names_ ['title', 'value'] Firs
I have a keras model with 5 outputs. My labels include 5 values to compare these to, but also 25 additional values representing a correlation matrix for the 5 v
I designed a CNN for a multitask classification in keras, where I have one input and two different class of classes in output. I compiled the model in this way
I designed a CNN for a multitask classification in keras, where I have one input and two different class of classes in output. I compiled the model in this way
I am using Google colab. I want to convert .pt model from my google drive to .h5 model. I follow link https://github.com/gmalivenko/pytorch2keras and https://ww
I'm doing binary segmentation using UNET. My dataset is composed of images and masks. I divided the images and masks into different folders ( train_images, trai