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。

Microsoft
您将获得的技能: 模型培训, 数据整合, Microsoft Azure, 数据科学, 机器学习方法, Databricks, 模型评估, MLOps(机器学习运营), 应用机器学习, 预测建模, 机器学习, 微软 Azure, 负责任的人工智能, 模型部署, Model Evaluation, 数据预处理
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 模型培训, 大数据, 数据转换, 分布式计算, 机器学习方法, 数据处理, 模型评估, Microsoft Azure, 探索性数据分析, Databricks, MLOps(机器学习运营), 深度学习, 机器学习, 微软 Azure, 数据操作, 数据湖, PySpark, Apache Spark, 模型部署, 数据管道, Model Evaluation
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Machine Learning, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Keras (Neural Network Library), Data Preprocessing, Data Quality, Model Training, Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Dataflow
中级 · 专项课程 · 3-6 个月

您将获得的技能: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Training, Artificial Intelligence, Model Optimization, Model Evaluation, Exploratory Data Analysis, Performance Tuning, Data Import/Export
初级 · 课程 · 1-3 个月

您将获得的技能: Amazon Elastic Compute Cloud, Cloud Deployment, Amazon Web Services, Model Deployment, Application Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Token Optimization, Feature Engineering, Data Preprocessing, Deep Learning, Model Training, Data Processing, Recurrent Neural Networks (RNNs), Data Cleansing, Model Evaluation
混合 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
中级 · 专项课程 · 3-6 个月


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, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization
中级 · 专项课程 · 3-6 个月

University of Colorado Boulder
您将获得的技能: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Embeddings, Digital Signal Processing, Transfer Learning, Machine Learning Methods, Classification Algorithms
攻读学位
高级设置 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
中级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Plot (Graphics), Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Scatter Plots, Python Programming, Data Science, Machine Learning, Data Analysis
初级 · 专项课程 · 1-3 个月