From 609fb91e5f9cc700fb81ff59c5030c926e9f4cf4 Mon Sep 17 00:00:00 2001 From: Yuxiang Wang Date: Thu, 30 Nov 2023 23:29:41 -0500 Subject: [PATCH 1/4] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 7f66300..6eb11c5 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,8 @@ Recognizing the need for more accessible alternatives to large pretrained vision models on imagenet, this repo aims to provide models pretrained on smaller datasets like MNIST and CIFAR10. These models are designed to be lighter and more manageable, facilitating quick experimentation and integration into projects where resources are limited. +The MNIST database contains 60,000 training images and 10,000 testing images. + Roadmap: * mnist shallow CNN From 8ea06f0a2a27fe93ad3a32044c6defb66da343aa Mon Sep 17 00:00:00 2001 From: Yuxiang Wang Date: Thu, 30 Nov 2023 23:33:10 -0500 Subject: [PATCH 2/4] Update README.md --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6eb11c5..13d2d39 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ Recognizing the need for more accessible alternatives to large pretrained vision models on imagenet, this repo aims to provide models pretrained on smaller datasets like MNIST and CIFAR10. These models are designed to be lighter and more manageable, facilitating quick experimentation and integration into projects where resources are limited. The MNIST database contains 60,000 training images and 10,000 testing images. +The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. Roadmap: * mnist @@ -13,5 +14,7 @@ Roadmap: For easy import and utilization, explore these pretrained models tailored for efficiency and convenience. -Reference Repository for CIFAR10 models: -[PyTorch CIFAR10 by huyvnphan](https://github.com/huyvnphan/PyTorch_CIFAR10) +Reference: +1.[PyTorch CIFAR10 by huyvnphan](https://github.com/huyvnphan/PyTorch_CIFAR10) +2.https://en.wikipedia.org/wiki/MNIST_database +3. From 994704d63532769e6f4ca7ddddc24f98291db957 Mon Sep 17 00:00:00 2001 From: Yuxiang Wang Date: Thu, 30 Nov 2023 23:35:50 -0500 Subject: [PATCH 3/4] Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 13d2d39..a5ccf35 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ Recognizing the need for more accessible alternatives to large pretrained vision models on imagenet, this repo aims to provide models pretrained on smaller datasets like MNIST and CIFAR10. These models are designed to be lighter and more manageable, facilitating quick experimentation and integration into projects where resources are limited. The MNIST database contains 60,000 training images and 10,000 testing images. + The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. Roadmap: @@ -16,5 +17,7 @@ For easy import and utilization, explore these pretrained models tailored for ef Reference: 1.[PyTorch CIFAR10 by huyvnphan](https://github.com/huyvnphan/PyTorch_CIFAR10) + 2.https://en.wikipedia.org/wiki/MNIST_database + 3. From de767ca5bc0ea27d04f188cc7d666bc4622a2416 Mon Sep 17 00:00:00 2001 From: Yuxiang Wang Date: Thu, 30 Nov 2023 23:37:15 -0500 Subject: [PATCH 4/4] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index a5ccf35..32775f2 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # vision_models -Recognizing the need for more accessible alternatives to large pretrained vision models on imagenet, this repo aims to provide models pretrained on smaller datasets like MNIST and CIFAR10. These models are designed to be lighter and more manageable, facilitating quick experimentation and integration into projects where resources are limited. +Recognizing the need for more accessible alternatives to large pretrained vision models on imagenet, this repo aims to provide models pretrained on smaller datasets like MNIST and CIFAR10. These lighter and more manageable models are pretrained for easy import and utilization, facilitating quick experimentation and integration into projects where resources are limited. The MNIST database contains 60,000 training images and 10,000 testing images. @@ -12,10 +12,10 @@ Roadmap: * CIFAR10 shallow CNN - -For easy import and utilization, explore these pretrained models tailored for efficiency and convenience. + Reference: + 1.[PyTorch CIFAR10 by huyvnphan](https://github.com/huyvnphan/PyTorch_CIFAR10) 2.https://en.wikipedia.org/wiki/MNIST_database