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Lead Data Scientist at ScanX :https://kentapt.hatenablog.com/entry/2021/12/22/164539
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sketch2im using Conditional GAN (pix2pix)
Image to Image Translation Using Generative Adversarial Networks
oltre 3 anni fa | 1 download |
Inviato
MATLAB MobileとPythonライブラリ folium によるGPSデータのプロット
This repo shows how to plot GNSS data obtained by MATLAB mobile using a python library, folium.
oltre 3 anni fa | 3 download |
Inviato
機械学習による迷惑メールの分類
各単語の出現頻度や単語のベクトル化により、迷惑メールの分類を行います。ナイーブベイズを用いたものと、LSTMによるものの２通りを用意しています。
oltre 3 anni fa | 1 download |
Inviato
Explainable AI with Score-CAM
This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free ...
oltre 3 anni fa | 4 download |
Inviato
Video classification using LSTM（LSTMによる動画の分類）
simple example of video classification with LSTM
oltre 3 anni fa | 3 download |
Inviato
Classify crack image using deep learning and explain "WHY"
This demo shows how to classify crack images using deep learning and explain why behind the decision. このデモでは、深層学習によりひび割れ画像を分類し、さ...
oltre 3 anni fa | 8 download |
Inviato
Semantic segmentation using Pascal VOC
This example shows how to train a semantic segmentation network using deep learning using Pascal VOC dataset.
quasi 4 anni fa | 11 download |
Inviato
Image Classification using CNN with Multi Input 複数の入力層を持つCNN
This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input. カスタムループを用いて複数入力のC...
quasi 4 anni fa | 5 download |
Inviato
CNN classification using random erasing/cut out
This demo shows how to do random erasing/cut out augmentation in CNN classification. random erasing や cut outとよばれる方法を用いて画像にマスクをか...
quasi 4 anni fa | 2 download |
Inviato
Crack detection using one-class SVM (1クラスsvmによるひび割れ検知）
This demo shows how to detect the crack images using one-class SVM. このデモでは、1クラスSVMを用いて、ひび割れを自動的に検知します。
quasi 4 anni fa | 2 download |
Inviato
Oversampling for deep learning: classification example
This example show how to classify images with imbalanced training dataset where the number of images per class is different over...
quasi 4 anni fa | 8 download |
Inviato
Image clustering and dimension reduction using CNN
This demo shows how to perform image clustering and dimension reduction using a pre-trained network. 学習済みネットワークを利用し、画像のクラスタリングや次...
quasi 4 anni fa | 3 download |
Inviato
Explainable AI: interpreting the classification using LIME
This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations) [1]. LIM...
quasi 4 anni fa | 6 download |
Inviato
Image classification using CNN with mixup data augmentation
This demo shows how to perform a data augmentation method called mix-up/random paring for image classification using CNN
quasi 4 anni fa | 2 download |
Inviato
Classify point clouds using PointNet（点群深層学習による点群の分類）
This demo shows how to classify point clouds using a method using deep learning for PointNet.
oltre 4 anni fa | 2 download |
Inviato
Conditional GAN and CNN classification with Fashion MNIST
This demo shows how to classify fashion item data (fashion MNIST) and synthesize those images using conditional GAN. fashion MNI...
circa 5 anni fa | 2 download |
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Generating digits by interpolating latent space with VAE
Continuous digit generation using variational auto encoder (VAE) by interpolating the latent space. VAEによる数字の自動生成
circa 5 anni fa | 2 download |
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Conditional VAE (Variational Auto Encoder) 条件付きVAE
This example shows how to create a conditional variational autoencoder (VAE) in MATLAB to generate digit images. 条件付き変分オートエンコーダに...
circa 5 anni fa | 5 download |
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ZCA whitening for image classification ZCA白色化
This demo shows how to do ZCA whitening transformation for image classification. このデモでは、深層学習による分類の前処理としてZCA白色化を行います。
circa 5 anni fa | 1 download |
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Visualizing a hyper-plane in SVM classifier（SVMの分離境界面の可視化）
A hyper-plane in SVM classifier was visualized. ３変数にてSVMを使い、分類を行うときの分離曲面を可視化します。
circa 5 anni fa | 3 download |
Inviato
Conditional GAN (Generative Adversarial Network) with MNIST
Hand-written digits were synthesized using a generative adversarial network called Conditional GAN. Conditional GANを用いて手書き数字を生成し...
circa 5 anni fa | 3 download |
Inviato
Continuous activation map generation at training process
Please click the thumbnail to watch the GIF file. 概要はサムネイルをクリックして下さい.This demo shows how to continuously create a class activati...
oltre 5 anni fa | 1 download |
Inviato
Generating hand-written numbers using VAE（VAEによる手書き文字の生成）
This demo generates a hand-written number gradually changing from 0 to1.
oltre 5 anni fa | 2 download |
