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。

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
初级 · 课程 · 1-4 周

MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
初级 · 专项课程 · 1-3 个月

Edureka
您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Continuous Deployment, Microservices, Load Balancing
中级 · 项目 · 不超过 2 小时

您将获得的技能: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management
中级 · 项目 · 不超过 2 小时

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Multimodal Prompts, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Transfer Learning, Computer Vision, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, ChatGPT, Responsible AI, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Application Development, Business Process Automation, Web Applications, Scripting, Python Programming, Test Script Development, Tool Calling, AI Enablement, Full-Stack Web Development, GitHub, Jupyter
中级 · 专项课程 · 1-4 周

Duke University
您将获得的技能: 生成式人工智能, CI/CD, 模型部署, MLOps(机器学习 Operator), 云部署, 拥抱的脸, 机器学习, PyTorch(机器学习库), Devops, 大型语言模型, LLM 申请, 拉斯特(编程语言), 基础设施即代码(IaC), 应用机器学习, 自然语言处理, AWS SageMaker
中级 · 课程 · 1-4 周