个结果，搜索词为 "vision transformer (vit)"
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
状态：预览University of Colorado Boulder
您将获得的技能: 卷积神经网络, 分类算法, 深度学习, 人工神经网络, 机器学习, 应用机器学习, 张力流, 性能调整, 模型评估, 计算机视觉, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 卷积神经网络, 深度学习, 人工神经网络, 数据预处理, 迁移学习, 计算机视觉, 张力流, Keras（神经网络库）, 图像分析
您将获得的技能: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
状态：免费试用您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning
状态：免费您将获得的技能: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development
状态：预览您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Vision Transformer (ViT), Generative Model Architectures
状态：免费试用您将获得的技能: 卷积神经网络, PyTorch（机器学习库）, 数据管道, 模型部署, Python 程序设计, 视觉转换器（ViT）, 迁移学习, 深度学习, Keras（神经网络库）, 数据预处理, 地理空间信息与技术, 模型评估, 机器学习, 计算机视觉
状态：预览Google Cloud
您将获得的技能: Natural Language Processing, Generative Model Architectures, Large Language Modeling, Transfer Learning, Classification Algorithms
状态：免费试用您将获得的技能: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
状态：免费试用您将获得的技能: OpenAI API, OpenAI, Image Analysis, Generative AI, ChatGPT, LLM Application, Multimodal Prompts, Application Programming Interface (API), Large Language Modeling, Artificial Intelligence, Natural Language Processing, Computer Vision
总之，以下是 10 最受欢迎的 vision transformer (vit) 课程
- Deep Learning for Computer Vision: University of Colorado Boulder
- 计算机视觉的深度学习应用: University of Colorado Boulder
- 卷积神经网络: DeepLearning.AI
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- Build a computer vision app with Azure Cognitive Services: Microsoft
- Transformer Models and BERT Model - Bahasa Indonesia: Google Cloud
- 使用深度学习的人工智能顶点项目: IBM
- Transformer Models and BERT Model - Español: Google Cloud
