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Hello!
There have been recent changes in the notebook for the first project:
https://github.com/udacity/deep-learning/blob/master/first-neural-network/Your_first_neural_network.ipynb
In particu…
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It seems like division by minibatch_size is missing in the "Mini-batch gradient descent" sample script.
gradients = 2 * xi.T.dot(xi.dot(theta) - yi)
->
gradients = 2/minibatch_size * xi.T.dot(xi…
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Hi @chen0040 what was the test accuracy you have obtained? I tried to test the models. This is the output i am getting while testing LSTM and bidrectional LSTM models.
('Extracting frames from vid…
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It would be interesting to add the option of generating minibatches of data from the data tool. At this moment, each stream contains only one instance.
It does not seem difficult to implement.
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Here is the error:
````
bash-3.2$ futhark-c network.fut
futhark-c network.fut
Warning at [builtin]/./futlib/linalg.fut:32:36-32:36:
Unused variable 'i'.
Warning at network.fut:106:7-106:7:…
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I've been implementing a minibatch gradient descent algorithm using MLDataPattern to supply minibatches from training data. However, computing the gradient from the returned SubArrays is very slow bec…
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I have a sequence of Caffe layers with no loss layer in a Caffe network. In my python code, I want to repeatedly take the following steps:
1. Do a forward pass through the network.
2. Compute my own …
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I get the following error:
````
bash-3.2$ make
make
futhark-c -o network.exe network.fut
Warning at [builtin]/./futlib/linalg.fut:32:36-32:36:
Unused variable 'i'.
Warning at network.fut:…
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The new PaddlePaddle core calls REGISTER_OP macro to fill in information (input, outputs, attributes) of an operator into a global variable of type [OpProto](https://github.com/PaddlePaddle/Paddle/blo…
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After familiarizing myself with keras' LSTM examples and tutorials (e.g. https://github.com/fchollet/keras/blob/master/examples/stateful_lstm.py), and discussions on the "stateful" flag (e.g. http://p…