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caffe/layers.md at master · intel/caffe · GitHub

https://github.com/intel/caffe/blob/master/docs/tutorial/layers.md

Loss drives learning by comparing an output to a target and assigning cost to minimize. The loss itself is computed by the forward pass and the gradient w.r.t. to the loss is computed by th… See more


Add a Padding layer to Caffe · Issue #6294 · BVLC/caffe · …

https://github.com/BVLC/caffe/issues/6294

We have developed a padding layer for Caffe similar in functionality to Keras, CoreML and others. The implementation is currently for GPU (Cuda) and CPU and has been …


GitHub - JunrQ/caffe-layer: implementation of some …

https://github.com/JunrQ/caffe-layer

caffe-layer. Implementation of some layers in caffe. File caffe.proto are parameters defined for these layers, which also need to be added into LayerParameter. wing loss layer. caffe …


how to develop new layers · Issue #684 · BVLC/caffe · …

https://github.com/BVLC/caffe/issues/684

(Optional) Implement the GPU versions Forward_gpu and Backward_gpu in layers/your_layer.cu. Add your layer to proto/caffe.proto, updating the next available ID. Also …


GitHub - liuxianming/Caffe-Python-Data-Layer

https://github.com/liuxianming/Caffe-Python-Data-Layer

This is implemenation of python data layer based on python_layer in caffe. TO-DO [-] Add siamese layer, triplet sampling layer implementations[50%] Siamese layer; Triplet Layer; Add free …


Making a Caffe Layer - GitHub Pages

https://chrischoy.github.io/research/making-caffe-layer/

All the layers in the caffe must have the corresponding unit test file. The unit test must thoroughly check all the functionalities implemented. Make a file …


machine learning - Creating new layer in Caffe - Stack …

https://stackoverflow.com/questions/45649515/creating-new-layer-in-caffe

(1)add layer to proto/caffe.proto to update the next available ID (2)make layer createable by adding it to layer_factory.cpp My queries are what is the purpose new ID in …


Implement L2 Normalization Layer in Caffe | Freesouls - GitHub …

http://freesouls.github.io/2015/08/30/caffe-implement-l2-normlization-layer/index.html

有的时候我们需要在Caffe中添加新的Layer，现在在做的项目中，需要有一个L2 Normalization Layer，Caffe中居然没有，所以要自己添加。 添加方法作者已经在Caffe的wiki …


regression accuracy layer for caffe · GitHub - Gist

https://gist.github.com/knsong/082f449e98ce168d85c050b15e8b2e88

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Linear Layer — Learning Machine - GitHub Pages

https://rentruewang.github.io/learning-machine/layers/linear/linear.html

How does a linear layer work? There are two components in a linear layer. A weight W, and a bias B. If the input of a linear layer is a vector X, then the output is W X + B. If the linear layer …


Caffe Python Layer · GitHub

https://gist.github.com/liangt/4b94369bf4323afe7e3dd016ef468219

Caffe Python Layer. GitHub Gist: instantly share code, notes, and snippets.


Deep learning tutorial on Caffe technology - GitHub Pages

http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html

In the iPython shell in your Caffe repository, load the different libraries : import numpy as np import matplotlib.pyplot as plt from PIL import Image import caffe Set the …


Caffe Python Layer · GitHub - Gist

https://gist.github.com/birolkuyumcu/82d03c12e975dccbaf74e811a8287e9d

layer ): #setup method def setup ( self, bottom, top ): #we want two bottom blobs, the labels and the predictions if len ( bottom) != 2 : raise exception ( "wrong number of bottom blobs …


Caffe | Layer Catalogue - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers.html

Data Layers. Data enters Caffe through data layers: they lie at the bottom of nets. Data can come from efficient databases (LevelDB or LMDB), directly from memory, or, when efficiency is not …


Deep learning tutorial on Caffe technology - GitHub Pages

https://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html

To initiate a blob : Blob(const vector<int>& shape) Methods on the blob : shape () and shape_string () to get the shape, or shape (i) to get the size of the i-th dimension, or …


CorvusCorax/Caffe-LSTM-Mini-Tutorial - GitHub

https://github.com/CorvusCorax/Caffe-LSTM-Mini-Tutorial

NetSpec () # the network is trained on a time series of n_steps + n_outputs # we have input data for n_steps, which the network needs to keep tracing for n_output more steps …


Caffe | Convolution Layer - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers/convolution.html

pad (or pad_h and pad_w) [default 0]: specifies the number of pixels to (implicitly) add to each side of the input; stride (or stride_h and stride_w) [default 1]: specifies the intervals at which to …


Caffe | RNN Layer - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers/rnn.html

optional bool debug_info = 4 [default = false]; // Whether to add as additional inputs (bottoms) the initial hidden state // blobs, and add as additional outputs (tops) the final timestep hidden state …

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