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: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

Coursera
您将获得的技能: 生成式人工智能, Python 程序设计, 数据预处理, 模型评估, 非结构化数据, 数据操作, 大型语言模型, 性能指标, JSON, 机器学习, 实时数据, OpenAI 应用程序接口, OpenAI
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: 生成式人工智能, Python 程序设计, 数据分析, 交互式数据可视化, 分析, 仪表板, 数据可视化软件, Pandas(Python 软件包), ChatGPT, Matplotlib, 数据驱动的决策制定
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming
初级 · 课程 · 3-6 个月

您将获得的技能: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
中级 · 专项课程 · 3-6 个月

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 数据预处理, 模型评估, 大数据, Apache Spark, 逻辑回归, 预测建模, 应用机器学习, Google 云端平台
中级 · 项目 · 不超过 2 小时

Microsoft
您将获得的技能: 数据科学, 负责任的人工智能, 模型部署, 人工智能和机器学习(AI/ML), MLOps(机器学习 Operator), 数据库, 微软 Azure, 模型评估, 数据预处理, 机器学习, 深度学习, 预测建模, 应用机器学习
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 数据转换, 数据处理, 模型部署, MLOps(机器学习 Operator), 分布式计算, 机器学习软件, 微软 Azure, 大数据, Apache Spark, 模型评估, PySpark, 机器学习, 回归分析, 数据库, 深度学习, 探索性数据分析
中级 · 课程 · 1-3 个月