Fast.ai:https://course.fast.ai/，第二门应该看的课程。fast.ai 也是一个封装了 pytorch 的高级框...
(4)人工智能101学院的PyTorch系列视频课程,讲的比较详细、覆盖的知识点也比较广,bilibili.com/video/av49,感兴趣的朋友可以试听一下。 (5)最后,向大家推荐的是国内领先的人工智能教育平台——七月在线的PyTorch入门与实战系列课:julyedu.com/course/getD。课程虽然是收费课程,但课程包含PyTorch语法、深度学习基础、...
涵盖机器学习基础、深度学习基础、信息论以及一些数学基础,例如线性代数、概率统计等开源课程,基本是国外有名大学课程,可谓足不出户上名校~~~ 2. ModelZoo https://modelzoo.co 收集了不少高star开源项目,支持搜索。 3. Transfer learning for computer vision tutorial https://pytorch.org/tutorials/beginner/trans...
Claim Your FREE OpenCV Crash Course Are you curious to explore the world of Artificial Intelligence and Computer Vision but don’t exactly know where to begin? Your search ends right here. You will learn and get exposed to a wide range of exciting topics like Image & Video Manipulation, Im...
You might also work on an amazing array of computer vision tasks involving image and audio. Whichever sub-task of deep learning you choose, your learning experience will be different. PyTorch uses various approaches and algorithms to solve these tasks, so choosing one beforehand will set the di...
"The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision." ImageFolder If you have special/custom datasets, image folder function can be used. # Example imagenet_data = torchvision.datasets.ImageFolder('path/to/imagenet_root/')...
torchvision: A package consisting of popular datasets, model architectures, and common image transformations for computer vision. Poutyne: A Keras-like framework for PyTorch and handles much of the boilerplating code needed to train neural networks. ...
AdamW has become the optimizer of choice in computer vision tasks involving CNNs and NLP tasks involving transformers. Its ability to prevent overfitting makes it ideal for tasks involving large datasets and complex architectures. The decoupling of weight decay means AdamW avoids the issues encountered...
93. Computer vision input and outputs.zh_en 10:11 94. What is a convolutional neural network.zh_en 05:04 95. TorchVision.zh_en 09:22 96. Getting a computer vision dataset.zh_en 24:25 98. Mini-batches.zh_en 07:19 99. Creating DataLoaders.zh_en 43:10 103. Training and testing...
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch BackPACK to easily Extract Variance, Diagonal of Gauss-Newton, and KFAC PyHessian for Computing Hessian Eigenvalues, trace of matrix, and ESD Hessian in PyTorch PyTorch Inference on C++ in Windows ...