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Organizing the section on ablation studies of Chapter 6.
I want to run several experiments where I start from the baseline model (the one I designed empirically so far) and remove/modify components…
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Hi,
Looking at this Torch tutorial:
http://code.madbits.com/wiki/doku.php?id=tutorial_basics
A Spatial Convolution layer is generated, and its weights are visualized,
then Lena's image is forwarded t…
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Any plans to have this implemented as a basic module? Moreover, it would be really nice if pytorch have the rnn package in torch wrapped
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Hi, I'm currently trying to port a network to CoreML, and hopefully make it run on iPhone XS Neural Engine for maximum performance. To achieve this, I use the high-level CoreML API, as it is the only …
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hi
I want to design a torsional diagram model that returns an embedded vector from a molecular structure. This convolutional graph model has graph-conv, graph-pooling and graph-gather layers.
I may …
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Hello Scott,
I have an LSTM network that I need to explain its predictions, is this currently possible? I don't see an example implemented for Sequence models.
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Dear Editors,
Our team developed a Python package to automatically optimize machine learning models' hyperparameters. We focused on optimizing the hyperparameters of convolutional (CNN) and recurr…
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I was successful before, and then I wanted to use api, I reinstalled opencv, and then it didn’t work
pi@raspberrypi:~/darknet $ make
chmod +x *.sh
g++ -std=c++11 -std=c++11 -Iinclude/ -I3rdparty/…
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I am implementing a feed-forward neural network model with random activation function at the out layer which has only one neuron. The random activation function works as if the output of the last hidd…
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I want building the CNN Model
`CNNmodel = keras.Sequential()
CNNmodel.add(Conv1D(32, 2, activation='relu', input_shape=(20,28) )) # 32 convolution filters used each of size 2
CNNmodel.add(Conv1…