0

DL-workshop-series

用于东京机器学习 (MLT) 深度学习相关研讨会的材料。「Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)」

Github 資源庫
主要指標

Github星跟蹤圖

DL-workshop-series

Code used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Part I: Convolution Operations

Implementation

ConvKernels: colab notebook with simple examples of various kernels applied on an image using convolution operation
ConvNets: colab notebook with functions for constructing keras models.
Models:

  1. AlexNet
  2. VGG
  3. Inception
  4. MobileNet
  5. ShuffleNet
  6. ResNet
  7. DenseNet
  8. Xception
  9. Unet
  10. SqueezeNet
  11. YOLO
  12. RefineNet

Slides

Link to the presentation: https://drive.google.com/open?id=1sXztx3E9M3G0BIRLh6sxaqVOEOdJVJTrzHOixA5b-rM

Cheat Sheet: Alt text

Video series: CNN Architectures (including implementation)

YouTube Playlist

Part II: Learning in Deep Networks

YouTube Playlist

主要指標

概覽
名稱與所有者Machine-Learning-Tokyo/DL-workshop-series
主編程語言Jupyter Notebook
編程語言Jupyter Notebook (語言數: 1)
平台
許可證Apache License 2.0
所有者活动
創建於2018-11-23 02:05:44
推送於2023-12-20 01:35:58
最后一次提交2023-12-20 10:35:58
發布數0
用户参与
星數0.9k
關注者數66
派生數253
提交數138
已啟用問題?
問題數4
打開的問題數1
拉請求數2
打開的拉請求數0
關閉的拉請求數0
项目设置
已啟用Wiki?
已存檔?
是復刻?
已鎖定?
是鏡像?
是私有?