All Questions
3 questions
0votes
0answers
14views
Are group convolutions still used?
Group convolutions theoretically should reduce the number of parameters and hence improve the speed of inference, without significantly affecting the performance of the model. However, I don't notice ...
1vote
0answers
184views
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
4votes
2answers
1kviews
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 ...
- 199
