Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Finish conv2d

See original GitHub issue

Some combinations for Pond’s conv2d is missing.

Issue Analytics

State:
Created 5 years ago
Comments:8 (7 by maintainers)

Top GitHub Comments

2reactions

jvmncscommented, Dec 6, 2018

I think pushing forward on the backwards pass for conv2d as in #156 would be super helpful to us!

0reactions

vincehongcommented, Aug 25, 2022

ABY3 protocol now has fully functional NN training.

Top Results From Across the Web

tf.keras.layers.Conv2D | TensorFlow v2.11.0

This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True,...

Keras.Conv2D Class - GeeksforGeeks

Keras Conv2D is a 2D Convolution Layer, this layer creates a convolution kernel that is wind with layers input which helps produce a...

Conv2d: Finally Understand What Happens in the Forward Pass

Input channels can be grouped and processed independently. Finally, the output channels are concatenated at the end. If there are 2 input ...

Keras Conv2D and Convolutional Layers - PyImageSearch

In this tutorial you will learn about the Keras Conv2D class and ... At the end of most networks we add a fully...

Conv2D layer - Keras

Conv2D class ... 2D convolution layer (e.g. spatial convolution over images). This layer creates a convolution kernel that is convolved with the layer...