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Caffe | Solver / Model Optimization - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/solver.html


Finding gradient of a Caffe conv-filter with regards to input

https://stackoverflow.com/questions/31324739/finding-gradient-of-a-caffe-conv-filter-with-regards-to-input

This gradient is a single number per pixel/filter weight. If you want to get the input that results with maximal activation of a specific internal hidden node, you need an "auxiliary" …


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Caffe | Forward and Backward for Inference and Learning

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

In forward Caffe composes the computation of each layer to compute the “function” represented by the model. This pass goes from bottom to top. The data is passed through an inner product layer for then through a softmax for and …


Caffe | Interfaces - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/interfaces.html

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caffe/test_gradient_check_util.hpp at master · BVLC/caffe

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// Compute the gradient analytically using Backward: Caffe::set_random_seed (seed_); // Ignore the loss from the layer (it's just the weighted sum of the losses // from the top blobs, whose …


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Implementing Policy Gradients in Caffe | Erik Gärtner

https://gartner.io/implementing-policy-gradients-in-caffe/

When trying to implement a policy gradient method in Caffe you’ll encounter three fundamental problems: Caffe is built for computing the forward and backward in one step; …


A Practical Introduction to Deep Learning with Caffe and Python

http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/

Once we have the 2 elements above, we train the ANN using an algorithm called backpropagation together with gradient descent (or one of its derivatives). For a detailed …


Caffe2 - C++ API: caffe2/core/operator_gradient.h Source File

https://caffe2.ai/doxygen-c/html/operator__gradient_8h_source.html

13 * For a dense blob, its gradient name should be written into dense_, and for 14 * a sparse blob, its gradient name should be written into indice_ for 15 * the sparse indices and value_ for the …


Deep learning tutorial on Caffe technology - GitHub Pages

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

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test_gradient_based_solver fails · Issue #22 · amd/OpenCL-caffe

https://github.com/amd/OpenCL-caffe/issues/22

I have a problem with make runtest failing on SGDSolver and NesterovSolver.I looked at the git repository of BVLC/caffe (BVLC/caffe#3109) and there somebody was …


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Caffe | ImageNet tutorial - Berkeley Vision

http://caffe.berkeleyvision.org/gathered/examples/imagenet.html

The guide specifies all paths and assumes all commands are executed from the root caffe directory. By “ImageNet” we here mean the ILSVRC12 challenge, but you can easily train on the …


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L2-norms of gradients increasing during training of deep neural …

https://stats.stackexchange.com/questions/173798/l2-norms-of-gradients-increasing-during-training-of-deep-neural-network

Update: This is the code I used to find the gradient of the CNN implemented in Caffe. It should be working correctly based on the answers in this StackOverflow post . The …


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Implement L2 Normalization Layer in Caffe | Freesouls

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

The author of Caffe has already wrote methods to add new layers in Caffe in the Wiki. This is the Link. 转载请注明!!! Sometimes we want to implement new layers in Caffe …


'clipping_threshold' LSTM parameter same at 'clip_gradient' Caffe ...

https://github.com/junhyukoh/caffe-lstm/issues/18

I followed Alex Graves' paper for gradient clipping. The idea is to clip the individual dimension of the gradient separately. As far as I know, the Caffe main code scales the whole …


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[Solved]-Finding gradient of a Caffe conv-filter with regards to …

https://www.appsloveworld.com/cplus/100/15/finding-gradient-of-a-caffe-conv-filter-with-regards-to-input

Caffe net juggles two "streams" of numbers. The first is the data "stream": images and labels pushed through the net. As these inputs progress through the net they are converted into high …


Caffe | LeNet MNIST Tutorial - Berkeley Vision

http://caffe.berkeleyvision.org/gathered/examples/mnist.html

Specifically, we will write a caffe::NetParameter (or in python, caffe.proto.caffe_pb2.NetParameter) protobuf. We will start by giving the network a name: …


Caffe: BatchReindexLayer fails GPU gradient tests under CUDA v9.1

https://bleepcoder.com/caffe/287701977/batchreindexlayer-fails-gpu-gradient-tests-under-cuda-v9-1

Confirmed on a standard Ubuntu 16.04 build both by myself (with GCC 5.4.0 and NVCC 9.1.85) and others: first in #6140, but also on caffe-users (thread1, thread2, thread3, …


Implementation of Caffe Code in PyTorch - SubOptimal solution

https://discuss.pytorch.org/t/implementation-of-caffe-code-in-pytorch-suboptimal-solution/73267

Here is the gradient for the first FC layer for Caffe and PyTorch: Top: Caffe gradient Bottom: PyTorch grad . As I can see the gradients are rounded off. Screenshot from …


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A Gentle Introduction to Mini-Batch Gradient Descent and How to ...

https://machinelearningmastery.com/gentle-introduction-mini-batch-gradient-descent-configure-batch-size/

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