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CV-JunchengLi · Jun 6, 2019 · 0bb3206 · 0bb3206
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diff --git a/facebookresearch_pytorch-gan-zoo_dcgan.md b/facebookresearch_pytorch-gan-zoo_dcgan.md
@@ -5,7 +5,7 @@ body-class: hub
 title: DCGAN on FashionGen
 summary: A simple generative image model for 64x64 images
 category: researchers
-image: pytorch-logo.png
+image: dcgan_fashionGen.jpg
 author: FAIR HDGAN
 tags: [vision, generative]
 github-link: https://github.com/facebookresearch/pytorch_GAN_zoo/blob/master/models/DCGAN.py

diff --git a/facebookresearch_pytorch-gan-zoo_pgan.md b/facebookresearch_pytorch-gan-zoo_pgan.md
@@ -5,7 +5,7 @@ body-class: hub
 title: Progressive Growing of GANs (PGAN)
 summary: High-quality image generation of fashion, celebrity faces
 category: researchers
-image: pytorch-logo.png
+image: pganlogo.png
 author: FAIR HDGAN
 tags: [vision, generative]
 github-link: https://github.com/facebookresearch/pytorch_GAN_zoo/blob/master/models/progressive_gan.py

diff --git a/huggingface_pytorch-pretrained-bert_bert.md b/huggingface_pytorch-pretrained-bert_bert.md
@@ -29,6 +29,9 @@ It includes:
 - `bertForTokenClassification`: BERT Transformer with a token classification head on top (BERT Transformer is pre-trained, the token classification head is only initialized and has to be trained)
 - `bertForQuestionAnswering`: BERT Transformer with a token classification head on top (BERT Transformer is pre-trained, the token classification head is only initialized and has to be trained)
 
+### Requirements
+
+Unlike most other PyTorch Hub models, BERT requires a few additional Python packages to be installed: `pip install tqdm boto3 requests regex`
 
 ### Example
 

diff --git a/huggingface_pytorch-pretrained-bert_gpt.md b/huggingface_pytorch-pretrained-bert_gpt.md
@@ -23,6 +23,10 @@ It includes:
 - `openAIGPTLMHeadModel`: OpenAI GPT Transformer with the tied language modeling head on top (fully pre-trained)
 - `openAIGPTDoubleHeadsModel`: OpenAI GPT Transformer with the tied language modeling head and a multiple choice classification head on top (OpenAI GPT Transformer is pre-trained, the multiple choice classification head is only initialized and has to be trained)
 
+### Requirements
+
+Unlike most other PyTorch Hub models, GPT requires a few additional Python packages to be installed: `pip install tqdm boto3 requests regex`
+
 ### Example
 
 Here is an example on how to tokenize the text with `openAIGPTTokenizer`, and then get the hidden states computed by `openAIGPTModel` or predict the next token using `openAIGPTLMHeadModel`.

diff --git a/images/pganlogo.png b/images/pganlogo.png
diff --git a/pytorch_vision_alexnet.md b/pytorch_vision_alexnet.md
@@ -5,7 +5,7 @@ body-class: hub
 title: AlexNet
 summary: The 2012 ImageNet winner achieved a top-5 error of 15.3%, more than 10.8 percentage points lower than that of the runner up.
 category: researchers
-image: pytorch-logo.png
+image: alexnet2.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py

diff --git a/pytorch_vision_deeplabv3_resnet101.md b/pytorch_vision_deeplabv3_resnet101.md
@@ -5,7 +5,7 @@ body-class: hub
 title: Deeplabv3-ResNet101
 summary: DeepLabV3 model with a ResNet-50 backbone
 category: researchers
-image: pytorch-logo.png
+image: deeplab2.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/segmentation/deeplabv3.py

diff --git a/pytorch_vision_densenet.md b/pytorch_vision_densenet.md
@@ -5,7 +5,7 @@ body-class: hub
 title: Densenet
 summary: Dense Convolutional Network (DenseNet), connects each layer to every other layer in a feed-forward fashion.
 category: researchers
-image: pytorch-logo.png
+image: densenet1.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py

diff --git a/pytorch_vision_fcn_resnet101.md b/pytorch_vision_fcn_resnet101.md
@@ -5,10 +5,10 @@ body-class: hub
 title: FCN-ResNet101
 summary: Fully-Convolutional Network model with a ResNet-101 backbone
 category: researchers
-image: pytorch-logo.png
+image: fcn2.png
 author: Pytorch Team
 tags: [vision]
-github-link: https://github.com/pytorch/vision.git
+github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/segmentation/fcn.py
 featured_image_1: deeplab1.png
 featured_image_2: fcn2.png
 ---

diff --git a/pytorch_vision_googlenet.md b/pytorch_vision_googlenet.md
@@ -5,7 +5,7 @@ body-class: hub
 title: GoogLeNet
 summary: GoogLeNet was based on a deep convolutional neural network architecture codenamed "Inception" which won ImageNet 2014.
 category: researchers
-image: pytorch-logo.png
+image: googlenet1.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/googlenet.py

diff --git a/pytorch_vision_inception_v3.md b/pytorch_vision_inception_v3.md
@@ -5,10 +5,10 @@ body-class: hub
 title: Inception_v3
 summary: Also called GoogleNetv3, a famous ConvNet trained on Imagenet from 2015
 category: researchers
-image: pytorch-logo.png
+image: inception_v3.png
 author: Pytorch Team
 tags: [vision]
-github-link: https://github.com/pytorch/vision.git
+github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/inception.py
 featured_image_1: inception_v3.png
 featured_image_2: no-image
 ---

diff --git a/pytorch_vision_mobilenet_v2.md b/pytorch_vision_mobilenet_v2.md
@@ -5,7 +5,7 @@ body-class: hub
 title: MobileNet v2
 summary: Efficient networks optimized for speed and memory, with residual blocks
 category: researchers
-image: pytorch-logo.png
+image: mobilenet_v2_1.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/mobilenet.py

diff --git a/pytorch_vision_resnet.md b/pytorch_vision_resnet.md
@@ -5,7 +5,7 @@ body-class: hub
 title: ResNet
 summary: Deep residual networks pre-trained on ImageNet
 category: researchers
-image: pytorch-logo.png
+image: resnet.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py

diff --git a/pytorch_vision_resnext.md b/pytorch_vision_resnext.md
@@ -5,7 +5,7 @@ body-class: hub
 title: ResNext
 summary: Next generation ResNets, more efficient and accurate
 category: researchers
-image: pytorch-logo.png
+image: resnext.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py

diff --git a/pytorch_vision_shufflenet_v2.md b/pytorch_vision_shufflenet_v2.md
@@ -5,7 +5,7 @@ body-class: hub
 title: ShuffleNet v2
 summary: An efficient ConvNet optimized for speed and memory, pre-trained on Imagenet
 category: researchers
-image: pytorch-logo.png
+image: shufflenet_v2_1.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/shufflenetv2.py

diff --git a/pytorch_vision_squeezenet.md b/pytorch_vision_squeezenet.md
@@ -5,7 +5,7 @@ body-class: hub
 title: SqueezeNet
 summary: Alexnet-level accuracy with 50x fewer parameters.
 category: researchers
-image: pytorch-logo.png
+image: squeezenet.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py

diff --git a/pytorch_vision_vgg.md b/pytorch_vision_vgg.md
@@ -2,10 +2,10 @@
 layout: hub_detail
 background-class: hub-background
 body-class: hub
-title: VGG
+title: vgg-nets
 summary: Award winning ConvNets from 2014 Imagenet ILSVRC challenge
 category: researchers
-image: pytorch-logo.png
+image: vgg.png
 author: Pytorch Team
 tags: [vision]
 github-link: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py