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。

您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability
★ 4.9 (15) · 初级 · 课程 · 1-4 周

您将获得的技能: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Tool Calling, Fine-tuning, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
★ 3.3 (16) · 初级 · 专项课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
★ 3.4 (13) · 初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning
★ 4.5 (14) · 初级 · 项目 · 不超过 2 小时

Duke University
您将获得的技能: 生成式人工智能, 模型培训, 自然语言处理, 大型语言建模, Amazon Web Services, 应用机器学习, PyTorch(机器学习库), 法学硕士申请, 机器学习, 拉斯特(编程语言), DevOps, 云部署, 拥抱的脸, 模型部署
★ 4.3 (15) · 中级 · 课程 · 1-4 周

L&T EduTech
您将获得的技能: 人工智能扫盲, 计算机视觉, 人工神经网络, 应用机器学习, 图像分析, 人工智能, 卷积神经网络, 张力流, 机器学习算法, 建筑工程, PyTorch(机器学习库), 电气工程, 深度学习, 机器学习, 变电站, 电力系统, 机器学习软件, 人工智能赋能, 土木工程, 分类算法
★ 4.7 (15) · 中级 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: 数据分析, 统计推理, 统计分析, 统计编程, 机器学习算法, 模型评估, 逻辑回归, 回归分析, 数据科学, 监督学习, 统计机器学习, 机器学习方法, 预测建模, 统计方法, 无监督学习, 应用机器学习, 机器学习, 统计资料, 贝叶斯统计, 统计建模, Model Evaluation
★ 4.6 (9) · 中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: 模型培训, 数据处理, 机器学习方法, 人工智能和机器学习(AI/ML), 模型优化, 机器学习软件, 分类算法, 拥抱的脸, 数据预处理
中级 · 课程 · 1-3 个月

您将获得的技能: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing
中级 · 专项课程 · 1-4 周

您将获得的技能: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing
★ 3.3 (7) · 中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
高级设置 · 专项课程 · 1-3 个月