Questions tagged [conv-neural-network]
A convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks that has successfully been applied to analyzing visual imagery. It falls under the [deep-learning] tag.
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why is tape.gradient returning None
so I am trying to create an adversarial example using this function:
def create_adversarial_pattern(input_image, input_label):
input_image = tf.cast(input_image, tf.float32)
with tf....
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i have problem in accuracy when i merge 2 cnn to binary classification for 1D data
i have problem in accuracy when i merge 2 cnn to binary classification for 1D data
the code
history = model_combined.fit(X_train, Y_train, epochs=5, batch_size=64,verbose = 1,validation_data=(X_test,...
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problem while giving input to the model and saving the output to a file
I have a numpy array having the 512 data points, I want to consider this as the input to my 1d convolutional model.
After training the model in unsupervised way I want to predict the same input data ...
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denoising 1d timeseries using deep learning
I want to train a 1d convolutional model in the unsupervised way for denoising the 1d timeseries data.In this regard I generated the 1d noisy timeseries as mentioned in inpdata and i want to denoise ...
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Incorrect CNN output
I'm working with a UNet convolutional neural network architecture because I need to output an image. However, it outputs an incorrect image on two counts:
The first picture on the far left is X, the ...
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Printing only the first weights of a neural network
I have my model (a VGG16, but it is not important). I want to check only some parameters of my network, for example the first ones.
To do this I do list(model.parameters()) and it prints all the ...
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Keras model always predicting the same class
I am working on a project where I have to classify genomic sequences as either positive or negative. So basically, I have sequences that are in the form 'accccttttttgggg...'
These sequences are 150 ...
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How to make YOLOV7 use higher resolution for training?
The current requirements are as follows:
1.The input image is a picture taken by 1440x1080 camera
2.There are only two detection targets, which are approximately 40x40 pixels and 16x16 pixel balls on ...
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Input 0 of layer "model_2" is incompatible with the layer
Working on a project using the below Jupyter notebook as a reference.
I am getting the following error when I try to train the model :
Node: 'model_6/dense_9/Relu'
Matrix size-incompatible: In[0]: [47,...
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Implementing CNN from scratch with numpy only and save model
Currently, I am learning CNN by myself. I find lots of sources on the Internet. But most of them use Pytorch and Tensorflow. I want to find some examples for image classification that uses NumPy only ...
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What value of val_loss is considered good for a CNN? [closed]
I got train_loss: 0.3519 - train_accuracy: 0.8394
And val_loss: 35.0334 and val_accuracy: 0.8542.
Is this a good validation loss?
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I have to decrease the batch size after adding a transformation
I am new to PYTORCH and AI in general. I am working on a dataset with 1080p images (6.7MB per image) where I can only train with a batch size of 1 using my GPU. I thought I will add a transformation ...
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Keras and Tensorflow OS resource requirement
I keep getting F tensorflow/core/platform/default/env.cc:73] Check failed: ret == 0 (11 vs. 0)Thread tf_data_private_threadpool creation via pthread_create() failed. errors during training, although ...
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"input channel should be divided by the weight channel" Error when converting TF2 StyleGAN2 to CoreML Model
I'm trying to convert an unofficial Tensorflow 2 implementation of StyleGAN 2 (Specifically, just the generator portion, not the discriminator) to a CoreML model to use in an iPhone app using the ...
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What do the terms filter and kernel size represent?
In relation to CNNs, what is the difference between the filters an the kernel size in keras models?
For example, I have a model with the following convolution layer:
layer_conv_2d(filters = 32, ...
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