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I'm trying to implement a Convolutional - LSTM.
It's a recurrent layer which accepts an image as input and uses a convolution to calculate the various gates in the LSTM.
So I'm trying to subclass `…
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The Yolo training examples use convolutional weights pretrained on ImageNet http://pjreddie.com/darknet/yolov1/ . These seem to be created using the Darknet `partial` command which saves only the weig…
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I have been trying to run DanQ_train.py (after tweaking the bidirectional LSTM implementation by using keras instead of seya), but training one epoch on the NVIDIA GTX 1080 takes over 200 hours accord…
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Relevant test:
https://github.com/hughperkins/tensorflow-cl/blob/dcdb5a64385c72aafa19e5fb9e16e64ec42ad751/tensorflow/stream_executor/cl/test/test_misc.py#L158-L180
```
def test_split():
sh…
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Hi,
I am trying to use conv2D plus LSTM to train a network with sequence of images (16 frames) and each sequence has 10 labels.
I made a simulation using Keras.extra and mnist data using the followin…
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Hi! I tried to do the "make" with:
GPU=1
CUDNN=1
OPENCV=1
and give me the following error (i paste all the compilation messages for more information):
mkdir -p obj
mkdir -p results
gcc -DOPENCV `p…
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Greetings!
We happen to have just pushed into the open source one of the Lasagne-based library for reinforcement learning algorithm design.
- The repo's here: [AgentNet](https://github.com/yandexdatas…
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I had been trying to figure out how to implement sentiment analysis by following [sequence to one](https://github.com/Element-Research/rnn/blob/master/examples/sequence-to-one.lua) example but found i…
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Hello,
I am quite new to Keras, I am wondering how keras could extend my pre-processed inputs.
My case is similar to a "sentiment analysis". what I have is large english corpus labeled with their "se…
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