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。

Imperial College London
您将获得的技能: 生成式人工智能, 自动编码器, Data Validation, 模型培训, 计算机编程, 监督学习, 深度学习, 模型评估, 生成模型架构, 贝叶斯网络, 卷积神经网络, 图像分析, 数据验证, 递归神经网络 (RNN), 迁移学习, 应用机器学习, 张力流, 模型优化, Transfer Learning, 贝叶斯统计, Keras(神经网络库), Model Evaluation, 数据管道
中级 · 专项课程 · 3-6 个月

您将获得的技能: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization
混合 · 课程 · 1-4 周

您将获得的技能: PySpark, MySQL, Data Pipelines, Apache Spark, Data Access, Data Processing, Data Engineering, SQL, Data Transformation, Data Manipulation, Distributed Computing, Data Import/Export, Programming Principles, Python Programming, Debugging
混合 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 生成式人工智能, 模型培训, 生成式对抗网络(GANs), 图像分析, 生成模型架构, 模型评估, PyTorch(机器学习库), 卷积神经网络, 深度学习, 数据伦理, 负责任的人工智能, Model Evaluation
中级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 生成式人工智能, 模型培训, 生成式对抗网络(GANs), 卷积神经网络, 生成模型架构, PyTorch(机器学习库), 信息隐私, 图像分析, 数据伦理, 负责任的人工智能, 数据综合
中级 · 课程 · 1-4 周

您将获得的技能: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, LLM Application, Generative Model Architectures
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training
中级 · 课程 · 1-4 周

您将获得的技能: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Network Architecture, Data Science
初级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming
中级 · 指导项目 · 不超过 2 小时