筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 PyTorch 课程目录
- 状态:新状态:免费试用
您将获得的技能: Responsible AI, Application Development, Generative AI, Full-Stack Web Development, GitHub, Development Environment, Front-End Web Development, Back-End Web Development, Prompt Engineering
- 状态:新状态:免费试用
您将获得的技能: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning
- 状态:新状态:免费试用
您将获得的技能: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
- 状态:免费试用
您将获得的技能: 统计建模, 决策树学习, 回归分析, 分类与回归树 (CART), 预测建模, 监督学习, 降维, 机器学习, 应用机器学习, 无监督学习, Scikit-learn (机器学习库), 功能工程
- 状态:新状态:免费试用
您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
- 状态:新状态:免费试用
您将获得的技能: Multimodal Prompts, Generative AI, Generative Model Architectures, Image Analysis, Prompt Engineering, Image Quality, Computer Vision, Deep Learning, Natural Language Processing, Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web
- 状态:新
您将获得的技能: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment
- 状态:免费试用
您将获得的技能: 大型语言模型, 数据伦理, 自然语言处理, 统计方法, 人工神经网络, 生成式人工智能, PyTorch(机器学习库), 功能工程, 文本挖掘, 深度学习
- 状态:新
您将获得的技能: Computer Vision, Mobile Development, PyTorch (Machine Learning Library), Flask (Web Framework), Application Development, Tensorflow, Deep Learning, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Containerization, User Interface (UI), Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
总之,以下是 10 最受欢迎的 pytorch 课程
- Generative AI for Developers: Unit 1: Pearson
- Programming Generative AI: Unit 2: Pearson
- Generative AI and Large Language Models: Coursera
- Generative AI for Developers: Unit 2: Pearson
- 使用 Python 进行机器学习: IBM
- AI with Python: Apply & Implement ML Models: EDUCBA
- Programming Generative AI: Unit 3: Pearson
- Introduction to Transformer Models for NLP: Unit 2: Pearson
- Jetson Nano Starter to Pro - A Computer Vision Course: Packt
- Gen AI 用于 NLP 和语言理解的基础模型: IBM