This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Last update: Jan 16, 2022

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Deep Learning AlexNet3D

Overview

AlexNet_3dConv

TensorFlow implementation of AlexNet(2012) by Alex Krizhevsky, with 3D convolutiional layers.

3D AlexNet

Network with a standart AlexNet architecture, but it has 3D instead 2D filters on each Conv and Pool layers.

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Note: This model needs a lot of GPU memory. Training session will not starts on 1 GPU without additional data separation or code's parallelization (or https://github.com/openai/gradient-checkpointing for example).
Note2: This model doesn't pretend to be the SilverBullet in 3D image recognition (like AlexNet was in 2D). It's just an example of 3D convolutional model in TensorFlow.

Owner

Denis Timonin

AI Solutions Architect at NVIDIA

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This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

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This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds"

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's Gradient Checkpointing algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Semantic graph parser based on Categorial grammars

Annotate datasets with a semi-trained or fully trained YOLOv5 model

Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer

banditml is a lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

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PPLNN is a Primitive Library for Neural Network is a high-performance deep-learning inference engine for efficient AI inferencing

This project contains an implemented version of Face Detection using OpenCV and Mediapipe. This is a code snippet and can be used in projects.

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A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

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The code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" in PyTorch.

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This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds"

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing