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。

Packt
您将获得的技能: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, Application Deployment, Feature Engineering
中级 · 专项课程 · 1-3 个月

您将获得的技能: Model Training
中级 · 课程 · 3-6 个月

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
中级 · 课程 · 1-3 个月

您将获得的技能: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
中级 · 课程 · 1-4 周
Alberta Machine Intelligence Institute
您将获得的技能: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation, Development Environment
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
中级 · 专项课程 · 1-3 个月

LearnKartS
您将获得的技能: 生成式人工智能, Prompt Engineering, 生成模型架构, 检索-增强生成, 亚马逊基岩, 模型评估, 人工智能和机器学习(AI/ML), 及时工程, 人工智能, Amazon Web Services, 法学硕士申请, 及时的工程工具, 模型优化, 多模式提示, 嵌入, 模型部署, Model Evaluation
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Optimization, Recurrent Neural Networks (RNNs), Classification Algorithms
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Kubernetes, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization, Model Evaluation, Containerization, Data Validation
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: Fine-tuning, Natural Language Processing, Model Training, Data Wrangling, Data Pipelines
中级 · 课程 · 1-4 周