What is the difference between a convolutional neural network …
Mar 8, 2018 · A convolutional neural network (CNN) is a neural network where one or more of the layers employs a convolution as the function applied to the output of the previous layer. If the …
How to handle rectangular images in convolutional neural …
Almost all the convolutional neural network architecture I have come across have a square input size of an image, like $32 \\times 32$, $64 \\times 64$ or $128 \\times 128$. Ideally, we might …
machine learning - What is a fully convolution network? - Artificial ...
Jun 12, 2020 · The typical convolution neural network (CNN) is not fully convolutional because it often contains fully connected layers too (which do not perform the convolution operation), …
Pseudocode for CNN with Bounding Box and Classifier
I've been looking at various bounding box algorithms, like the three versions of RCNN, SSD and YOLO, and I have noticed that not even the original papers include pseudocode for their …
When training a CNN, what are the hyperparameters to tune first?
Firstly when you say an object detection CNN, there are a huge number of model architectures available. Considering that you have narrowed down on your model architecture a CNN will …
My CNN model performs bad on new (self-created) pictures, what …
May 7, 2020 · I once trained a CNN model on poor quality images and with very good validation accuracy but when I tested on image from my camera it didn't work at all. I degraded the …
neural networks - Speeding up CNN training - Artificial …
So I built a CNN without any scientific libraries like TensorFlow or Keras (only NumPy). It is taking a huge amount of time to train. It is taking a huge amount of time to train. What are some of …
How are the kernels initialized in a convolutional neural network?
Sep 29, 2021 · I am currently learning about CNNs. I am confused about how filters (aka kernels) are initialized. Suppose that we have a $3 \\times 3$ kernel. How are the values of this filter …
neural networks - CNN's vs Densely Connected NN's - Artificial ...
Jun 29, 2018 · My question is, is there any other reason why CNN's are used over DNN's (densely connected NN)? Basically if we have infinite resources will DNN trump CNN's or are …
Is there any difference between ConvNet and CNN?
Feb 15, 2021 · I don't believe there is any particular reason to choose one over the other: ConvNet is slightly easier to say out loud and CNN is slightly shorter to write, but there is …