All Questions
15 questions
4
votes
2
answers
2k
views
how to calculate quadratic features in computer vision Neural Network
I am recently watching some tutorials for deep learning from Dr Andrew Ng on Youtube. Link is hereThe Youtube video
There is a concept of number of features in convolutional neural network in ...
- 1
21
votes
2
answers
39k
views
In CNN, why do we increase the number of filters in deeper Convolution layers for complex images?
I have been doing this online course Introduction to TensorFlow for AI, ML and DL. Here in one part, they were showing a CNN model for classifying human and horses. In this model, the first ...
1
vote
1
answer
73
views
How to align the description of a convolutional neural network in keras with wikipedia's conceptual model?
I was going through the introductory guide to convolutional neural networks in tensor flow here
And I was trying to logically map some of the code I saw to my actual understanding of how convolutional ...
- 1,737
1
vote
0
answers
37
views
How to make sense of the input and output for a speech-generation model like WaveNet?
I am currently studying this model speech generation known as WaveNet model by Google. https://arxiv.org/pdf/1609.03499.pdf using the linked original paper and this implementation.
I find the model ...
- 287
0
votes
1
answer
2k
views
Resize instead of transposed convolutions
I'm trying to build a decoder version of ResNet, i.e. one that goes from the prelogits layer and attempts to recreate the image. I can get it working by using transposed convolutions, but the quality ...
CommunityBot
- 1
0
votes
1
answer
1k
views
Can anyone recommend me a very good pre-trained model for face or head detection?
I really need to know the best pre-trained models to detect faces and/or peoples' head. Not a face recognition model, but only to classify whether an object is a person's head/face or not.
I'm ...
- 305
1
vote
0
answers
169
views
What does it mean to say convolution implementation is based on GEMM (matrix multiply) or it is based on 1x1 kernels?
I have been trying to understand (but miserably failing) how convolutions on images (with height, width, channels) are implemented in software.
I've heard people say their convolution implementation ...
- 123
0
votes
2
answers
6k
views
Convolutional neural network with 1 channel images/1 input channel
I'm following a tutorial on tensorflow using a convolutional neural network for images, but I'm looking to do it with grayscale images. How would the code posted there be different if it was for ...
- 1,305
4
votes
2
answers
9k
views
how can I solve label shape problem in tensorflow when using one-hot encoding?
I used tensorflow to recognize text from natural images by using convolutional neural network; there is no specific number of characters in the text. To make a successful training I should convert the ...
- 87
2
votes
1
answer
1k
views
Anyone have fruit disease dataset? [closed]
I am doing a project on fruit disease recognition and classification. Anyone have an existing dataset of fruit diseases? Can you help me to find one?
- 1,229
4
votes
2
answers
1k
views
Tensorflow (or Keras) vs. Pytorch vs. some other ML library for implementing a CNN [closed]
I am looking into implementing a convolutional neural network for a research problem. I've heard of deep learning libraries like Pytorch and Tensorflow and was hoping to get some additional ...
- 1,014
2
votes
1
answer
4k
views
TensorFlow: trainable_variables() is empty
I want to retrieve the list of trainable variables/weights in my model (wrapped in a tf.Estimator). However, ...
- 1,811
3
votes
1
answer
448
views
How to implement a convolutional autoencoder?
I would like to implement a convolutional autoencoder in Tensorflow, but it is not clear how the decoder part should work.
Each layer of the encoding, is a convolutional layer with activation ...
CommunityBot
- 1
1
vote
0
answers
2k
views
How do I fix the misshape in a CNN?
I wrote a simple CNN with a maxpool, a dense layer and a drop layer. Unfortunately there is two messages why it doesn't work.
In a normal session codes complaines about a misshape between y_conv and ...
- 305
-1
votes
1
answer
5k
views
how can I used tf.argmax in multi-dimensions tensor?
I want to know who can I use the tf.argmax in multi-dimension tensor in the Tensorflow using convolution neural network.
bellow is simple example to explain what I want exactly::
1-D tensor example::...
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