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Giovanni Giannella

3/30/17

SOME QUESTION ABOUT LABELS AND INNER PRODUCT

Hi guys, I 'm new in caffe and i use it for my thesis. I've some questions: 1)I'd like to

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SOME QUESTION ABOUT LABELS AND INNER PRODUCT

Hi guys, I 'm new in caffe and i use it for my thesis. I've some questions: 1)I'd like to

3/30/17

p.Paul, … par...@unlv.nevada.edu6

2/16/17

Last layer of regression gives 0 Output values

Most probably your network is way bigger than what you need (I am guessing your dataset is very small

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Last layer of regression gives 0 Output values

Most probably your network is way bigger than what you need (I am guessing your dataset is very small

2/16/17

p.Paul, Przemek D7

2/13/17

Basic problem: blob size exceeds INT_MAX, when using ImageData layer

Thank you very much. :) On Monday, February 13, 2017 at 10:00:36 AM UTC+1, Przemek D wrote:

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Basic problem: blob size exceeds INT_MAX, when using ImageData layer

Thank you very much. :) On Monday, February 13, 2017 at 10:00:36 AM UTC+1, Przemek D wrote:

2/13/17

naranjuelo, Przemek D5

11/14/16

Data reshape for fully connected layers

W, H and finally C, for a total of N times, that's it El lunes, 14 de noviembre de 2016, 15:01:33

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fully-connected

Data reshape for fully connected layers

W, H and finally C, for a total of N times, that's it El lunes, 14 de noviembre de 2016, 15:01:33

11/14/16

Antonio Paes, Jan7

5/13/16

Explanation of how FC choose the features from Convolutional Layer

Thanks Jan. Em sexta-feira, 13 de maio de 2016 12:14:21 UTC-3, Jan escreveu: Yes, that is correct.

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Explanation of how FC choose the features from Convolutional Layer

Thanks Jan. Em sexta-feira, 13 de maio de 2016 12:14:21 UTC-3, Jan escreveu: Yes, that is correct.

5/13/16

2/4/16

How to reshape the weights of an Inner_product layer in Caffe?

I want to change a fully connected layer to a fully convolutional layer. But Caffe stores the fully

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fullyConvolutional

How to reshape the weights of an Inner_product layer in Caffe?

I want to change a fully connected layer to a fully convolutional layer. But Caffe stores the fully

2/4/16

spaceman_spiff, Alex Orloff3

1/6/16

Effect of a higher num_output in fc layer

Hi Alex, Thanks for the reply. But my question was whether the net's ability to learn/classify be

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Effect of a higher num_output in fc layer

Hi Alex, Thanks for the reply. But my question was whether the net's ability to learn/classify be

1/6/16

filipe mutz, Shaunak De2

2/15/17

Number of neurons before Softmax/Accuracy layer and meaning of some internal variables

I noticed this also. And am completely unable to explain it. Did you ever find out what happened? On

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SoftmaxWithLoss

Number of neurons before Softmax/Accuracy layer and meaning of some internal variables

I noticed this also. And am completely unable to explain it. Did you ever find out what happened? On

2/15/17

fby...@gmail.com2

12/3/15

How to concat the output of a pooling layer and inner-product layer in CAFFE?

Solved my issue by flattening the conv. layer output. eg by adding a Flatten layer between the pool

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pooling-dimension

How to concat the output of a pooling layer and inner-product layer in CAFFE?

Solved my issue by flattening the conv. layer output. eg by adding a Flatten layer between the pool

12/3/15

10/21/15

Using large number of output classes in RNN model gives error "blob size exceeds INT_MAX"

On reducing the vocabulary size (number of output classes) to 82994, training continued smoothly. But

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caffe-recurrent

large_output_classes

large_vocabulary

Using large number of output classes in RNN model gives error "blob size exceeds INT_MAX"

On reducing the vocabulary size (number of output classes) to 82994, training continued smoothly. But

10/21/15

10/21/14

Data propagation through IP layer in the Lenet

okay got it. On Monday, October 20, 2014 3:37:54 PM UTC-7, Khalid Ashraf wrote: I am trying to make

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Data propagation through IP layer in the Lenet

okay got it. On Monday, October 20, 2014 3:37:54 PM UTC-7, Khalid Ashraf wrote: I am trying to make

10/21/14

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