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lenet
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About Doc and Readme
Learning Deep Features for Discriminative Localization (2016)
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Mar 30, 2020 - Python
Artificial Intelligence Learning Notes.
machine-learning
reinforcement-learning
computer-vision
deep-learning
tensorflow
image-processing
cnn
dropout
vgg
lenet
alexnet
harris
sift
image-segmentation
image-augmentation
hog
image-denoising
dpm
image-enhancement
activation-function
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Jan 28, 2020 - Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
tutorial
cnn
pytorch
vgg
lenet
image-classification
resnet
alexnet
convolutional-networks
convolutional-neural-networks
convolutional-neural-network
pytorch-tutorial
pytorch-tutorials
pytorch-cnn
pytorch-implmention
torchvision
pytorch-implementation
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Jun 2, 2020 - Jupyter Notebook
a collection of my notes on deep learning
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Aug 11, 2017 - Jupyter Notebook
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
machine-learning
reinforcement-learning
deep-learning
recurrent-neural-networks
lstm
dropout
mnist
neural-turing-machines
question-answering
cartpole
lstm-model
lenet
convolutional-networks
convolutional-neural-networks
deep-q-network
computational-graphs
auto-differentiation
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Feb 27, 2020 - Python
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
pytorch
vgg
mnist-classification
lenet
densenet
resnet
googlenet
resnext
mobilenet
shufflenet
dual-path-networks
senet
baselines
capsnet
mobilenetv2
pnasnet
preact-resnet
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Dec 26, 2018 - Python
A tiny implementation of LeNet (without deep learning framework)
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Feb 12, 2020 - Python
Handwritten Digit Recognition Using Convolutional Neural Network by Python
python
computer-vision
deep-learning
lenet
convolutional-neural-networks
from-scratch
handwritten-digit-recognition
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Nov 4, 2019 - Python
Implement lenet and vgg19 by tensorflow with dataset mnist using tfrecord
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Feb 4, 2018 - Python
Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
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Feb 13, 2020 - Jupyter Notebook
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
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May 6, 2018 - Jupyter Notebook
Tensorflow implementation for generating adversarial examples using convex programming
python
tensorflow
lenet
densenet
adversarial-inputs
adversarial
adversarial-samples
adversarial-example
adversarial-examples
adversarial-attacks
network-in-network
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Jul 10, 2018 - Python
Build a CNN (LeNet) model for smile detection
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Jan 7, 2019 - Python
FPGA and GPU acceleration of LeNet5
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Jul 9, 2019 - Objective-C
An Implementation of 3D LeNet Model with PyTorch
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Aug 28, 2017 - Python
sandeepdutta
commented
Jan 9, 2019
Added $(VIVADO_INSTALL)/include (/opt/Vovado/2018.2/include) to include path in software build template. Make sure this include path is AFTER <VSI_INSTALL>/target/common/include ....
Migrating from Theano to Tensorflow using Lenet as a case study.
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Aug 28, 2017 - Python
A traffic sign classifier using LeNet for Self driving cars
deep-learning
tensorflow
keras
cnn
lenet
convolutional-neural-networks
traffic-sign-classifier
gtsrb-dataset
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Jan 26, 2020 - Python
Project of photoelectric information processing experiment in ZJU, ISEE
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Sep 7, 2019 - Python
This repository contains Pytorch files that implement Basic Neural Networks for different datasets.
machine-learning
deep-learning
neural-network
machine-learning-algorithms
generative-adversarial-network
generative-model
autoencoder
vae
lenet
datasets
gans
cifar10
variational-autoencoder
mnsit
autoencoder-mnist
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Mar 31, 2019 - Python
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Hello sir, may you please provide new and detailed doc and readme about this project?
This would be a great pleasure by you.
Best wishes.