Category "conv-neural-network"

what is the number of layers in EfficientNetB2?

Knowing that the total number of layers in EfficientNet-B0 is 237 and in EfficientNet-B7 the total comes out to 813, what is the total number of layers in Effic

Balanced Accuracy Score in Tensorflow

I am implementing a CNN for an highly unbalanced classification problem and I would like to implement custum metrics in tensorflow to use the Select Best Model

Random cropping data augmentation convolutional neural networks

I am training a convolutional neural network, but have a relatively small dataset. So I am implementing techniques to augment it. Now this is the first time i a

Change the Background color of an image set using OpenCV

I have a fingernail dataset and in these images they have different background colors as below image. I need to covert all those image's background color to on

Value Error: No such layer - Extracting the output of a tensorflow keras layer

I'm trying to extract the output of thelayer in my autoencoder and have referenced this Keras documentation and this stackoverflow post so far. When I try to ex

Pytorch unable to export trained model as ONNX

I have been training a model in the Pytorch framework using multiple convolutional layers (3x3, stride 1, padding same). The model performs well and I want to u

module 'keras.engine' has no attribute 'Layer'

----> 6 from mrcnn.model import MaskRCNN /usr/local/lib/python3.7/dist-packages/mrcnn/model.py in () 253 254 --> 255 class ProposalLayer(KE.Layer): 256

Ordering of batch normalization and dropout?

The original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general answer is

ValueError: Unknown metric function: cosine

i have been getting valueError issue. Currently using python3.9.11., keras2.8. if loss_init=="r2": parallel_model.compile(loss=custom_r2_loss, o

Conv2D output shape in CNN too small

The input shape in the first Conv2D layer is supposed to be (100, 100, 1) however the output is (None, 98, 98, 200). I understand what 200 and None determine bu

What is "linear projection" in convolutional neural network [closed]

I am reading through Residual learning, and I have a question. What is "linear projection" mentioned in 3.2? Looks pretty simple once got this

Python deep learning- training image

I'm trying to train a single image into my network. As shown in the code below, I've set my input layer like that since size of single image I am trying to use

Are modern CNN (convolutional neural network) as DetectNet rotate invariant?

As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle

input_shape of Conv1D layer Keras

I am trying to make a CNN model for binary classification of a non-image dataset. My model/ code is working and producing very good results (accuracies are high

Timeout in multi-machine training of pytorch?

Error occurs in multi-machine training of pytorch: RuntimeError: [/pytorch/third_party/gloo/gloo/transport/tcp/unbound_buffer.cc:136] Timed out waiting 1800000m

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