PyTorch 课程
PyTorch 课程可以帮助您学习神经网络设计、模型训练和深度学习技术。您可以掌握数据预处理、超参数调优以及实现卷积和递归网络的技能。许多课程介绍了用于可视化的 TensorBoard 和用于交互式编码的 Jupyter Notebook 等工具，展示了这些技能如何应用于涉及图像识别、自然语言处理和人工智能 (AI) 其他领域的项目中。
PyTorch 热门课程和认证
状态：新您将获得的技能: Computer Vision, Mobile Development, Model Deployment, PyTorch (Machine Learning Library), Application Development, Tensorflow, Transfer Learning, Application Deployment, Data Preprocessing, Model Evaluation, User Interface (UI), Development Environment, Real Time Data, User Interface (UI) Design
状态：新状态：预览Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
状态：预览Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Tensorflow, Metadata Management, Model Evaluation, Containerization, Distributed Computing
- 状态：预览
Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Tensorflow, CI/CD, Kubernetes, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, Model Evaluation, Containerization, Scalability
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
状态：免费试用LearnKartS
您将获得的技能: Prompt Engineering, Amazon Bedrock, Generative AI, Retrieval-Augmented Generation, Model Evaluation, Multimodal Prompts, LLM Application, Model Deployment
状态：预览Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Tensorflow, Data Pipelines, Metadata Management, Kubernetes, AI Orchestration, AI Workflows, Model Deployment, PyTorch (Machine Learning Library), Containerization, Model Evaluation
- 状态：预览
Google Cloud
您将获得的技能: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization
状态：预览Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
状态：预览DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Model Evaluation
- 状态：预览
DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning
与 pytorch 相关的搜索
总之，以下是 10 最受欢迎的 pytorch 课程
- YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
- Statistical Learning for Engineering Part 1: Northeastern University
- Learning Deep Learning: Unit 2: Pearson
- ML Pipelines on Google Cloud en Español: Google Cloud
- ML Pipelines on Google Cloud - Français: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- AWS Tools and Services for AI: LearnKartS
- ML Pipelines on Google Cloud - Português: Google Cloud
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- Image Generation with AI Training Course: Simplilearn
