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Questions tagged [max-pooling]

For questions about max pooling (as well as average pooling) operation, commonly used in convolutional neural networks for downsampling.

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Fractional maxpool makes runtime die on google colab

So I am trying to use fractional max pool in Keras with Lambda wrappers on CIFAR-10,but whenever I try to train the model the runtime dies. Any clues on what's happening? I am using Keras v2.0 with tensorflow backend. def frac_max_pool(x): return…
Sid
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IndexError: tuple index out of range by max pooling

I am using keras functional api and I have tensor of shape phrasing.shape = (?, 553777, 19, 3) Now I want to take a max feature of unigram and bigram & trigram so the expected shape should be (?, 553777, 19, 1) so I added this line ph =…
addam
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Understanding output of Convolutional Neural Network

I have been trying to understand Convolutional Neural Network but I mess up with its output size. The Formula is pretty much straightforward but I still end up confusing myself. I have learned from many sources on the Internet like deeplearning.ai…
vidit02100
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How to use a tensorflow session inside a nerual network model

I was following along with a sentdex tutorial on writing a constitutional neural network and I got to wondering if I could figure out my own pooling layer. The problem is that as part of this pooling layer I have to perform a tensorflow function…
Dean Alvarez
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maxpooling of channels in CNN

I need to decrease the number of channels in CNN network. my input is a 4D object (samples, rows, column, channels). number of channels is 3 and my output for training has just one channel. is there anyway to do kind of max-pooling in channel…
Vahid_g
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merge multiple keras max pooling layers

I am new to keras. My goal is to have total of 4 max pooling layers. All of them take same input with shape (N, 256). The first layer does global max pooling and give 1 output. The second layer with N / 2 pooling size and N / 2 stride, gives 2…
jiashenC
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matcovnet pooling_cup.cpp pooling_backward_cpu function parameters

Hi I am trying to write a new pooling layer in matcovnet. I tried with Matlab code but it is way too much slow, so now I am trying to implement with cpp code. I am trying to use pooling_cup.cpp code to implement my work. But I am confused with…
Cpt. Price
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NumPy Array Reshaped but how to change axis for pooling?

I have a 8x8 matrix as follows: [[ 0.3 0.3 0.3 0.3 0.3 0.5 0.1 -0.1] [ 0.1 0.1 -0.1 0.3 0.3 -0.1 -0.1 -0.5] [-0.1 0.1 0.3 -0.1 0.3 -0.1 -0.1 -0.1] [-0.1 0.1 0.5 0.3 -0.3 -0.1 -0.3 -0.1] [ 0.5 0.1 -0.1 0.1 -0.1 -0.1 -0.3 -0.5] […
Azeem Ullah
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What is the equivalent of Caffe's Maxpooling in tensorflow?

I am confused how we define max-pooling in Tensorflow. The documentation is vague and does not explain the parameters well. In the pooling documentation it only says: ksize: A list of ints that has length >= 4. The size of the window for each…
Hossein
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Why is the layernorm after the max operation so important?

I am using several residual blocks and then following the head part the model. I tried two different architectures and found that the models can be different from each other via existence of the layer normalization. The is my model structures input…
dreamg
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How do I create a binaryMask that displays all the values which contributed to the output

I've been trying to implement a MaxPoolingLayer in numpy. The problem I'm having is that I cannot create an array that contains all the indices of the max Values(which I obviously need for the backward pass). My Idea is to create said array as some…
FalkAurel
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CNN Issues with Max Pooling

I have a dataset of 40X40X7 images. I have the following model architecture and implementation. def conv_block(inputs, n_filter, regularizer, common_args): x = tf.keras.layers.Conv2D(filters=n_filter, …
riskiem
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Implementing Aggregator Neural Networks with TensorFlow 2.0

I am attempting to design a neural network model using Tensorflow with the following specifications: The model accepts two inputs: X, a list of n 3-dimensional vectors, and Y, a list of n ascending natural numbers starting from 0. It produces an…
Nitesh Kumar
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Fixing "Found an invalid max index" error in PyTorch's max_unpool2d function

I'm having a hard time using F.max_unpool2d in PyTorch. I define a tensor x, perform max pooling on it using nn.MaxPool2d and store the output and indices in y and indices. Then, I try to unpool y using F.max_unpool2d. Here is the minimal…
Blade
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calculating the receptive field of a network

I need to calculate the receptive field of a model like this one: Conv2D(filters=4, kernel_size=5, strides=2, padding="same"), ReLU(), MaxPoling2D(pool_size=2), Conv2D(filters=8, kernel_size=3, padding="same"), ReLU(), GlobalAveragePooling2D(),…
Skynet
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