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I recently read Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, Trevor Darrell. I don't understand what "deconvolutional layers" do / how they work. The relevant...
Asked on 12/25/2020
11 answerAttention is all you need is a nice paper that suggests usingpositional encodings as an alternative to RNNs in their Transformer architecture. GPT-2 and GPT-3 are...
Asked on 12/25/2020 by Valentas
1 answerI load the pretrained DenseNet for my dataset. When I use fit to run the model, I get memory exhausted error. So, I tried using the following command:from keras...
Asked on 12/25/2020
0 answerDetectron2 is really good and it supports large number of models / but not all. Eg. Yolo. Do we have alternative to detectron2 which provide easy to use API for...
Asked on 12/25/2020
0 answerI'm having a hard time trying to find a good explanation of the process of Joint Training in Neural Networks. I already understand the concepts of Fine Tuning and Feature...
Asked on 12/25/2020 by BestDogeStackoverflow
1 answerI have a training procedure set up for an image recognition task. Each time I train a model, I record training loss, validation loss, validation precision and validation recall. Recently...
Asked on 12/25/2020 by Louka Ewington-Pitsos
2 answerLet's say that I have 9 sensors arranged in a 3 by 3 grid. I have multiple objects which emit the same signal and move past the grid of sensors,...
Asked on 12/25/2020 by Robert Barroll
1 answerJust for fun, I am currently trying to find suitable locations to deploy new stores. So what I did so far is to take the actual sites of current stores...
Asked on 12/24/2020 by Lossa
1 answerIn data pre-processing, stratified shuffle is used to ensure that the distribution of the original dataset is reflected in the training, test and validation dataset. Mini-batch gradient...
Asked on 12/24/2020 by Tarun Pratap
1 answerI am confused on which of the following should be used for standardization:method 1: fit transforming training data and only transforming test datafrom sklearn.preprocessing import StandardScalersc = StandardScaler()X_train =...
Asked on 12/24/2020 by nishanth reddy
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