PyTorch 课程
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。
PyTorch 热门课程和认证
Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
您将获得的技能: Model Optimization, PyTorch (Machine Learning Library), Model Training, Distributed Computing, Data Pipelines, Performance Tuning, Deep Learning, AI Workflows, Scalability, LLM Application, Memory Management, Hardware Architecture, Machine Learning
您将获得的技能: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing, Data Transformation
您将获得的技能: 生成式人工智能, 模型培训, Prompt Engineering, 大型语言建模, 生成模型架构, PyTorch（机器学习库）, 及时工程, 模型优化, 微调
您将获得的技能: 生成式人工智能, 模型培训, 自然语言处理, 应用机器学习, 生成模型架构, PyTorch（机器学习库）, 大型语言建模, 迁移学习, 模型优化, Transfer Learning, 嵌入, 数据预处理
您将获得的技能: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning
您将获得的技能: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Convolutional Neural Networks, Digital Signal Processing, Model Training, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications
Packt
您将获得的技能: 模型培训, 生成式对抗网络（GANs）, 人工神经网络, 图论, 深度学习, 自然语言处理, 生成模型架构, 模型评估, 监督学习, 视觉转换器（ViT）, PyTorch（机器学习库）, 机器学习方法, 无监督学习, 模型优化, 降维, 网络模型, Flask （Web 框架）, 模型部署, 嵌入, Model Evaluation
Duke University
您将获得的技能: 计算机视觉, 模型培训, 卷积神经网络, 人工神经网络, 自然语言处理, 迁移学习, 机器学习方法, 监督学习, 应用机器学习, PyTorch（机器学习库）, 逻辑回归, 图像分析, 深度学习, 无监督学习, 机器学习, 模型优化, Transfer Learning, 医学影像, 强化学习, Python 编程
您将获得的技能: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
Coursera
您将获得的技能: 生成式人工智能, 模型培训, 数据处理, 模型评估, 大型语言建模, OpenAI 应用程序接口, 实时数据, OpenAI, 法学硕士申请, 机器学习, 数据操作, 微调, Python 编程, 解决客户投诉, Model Evaluation, 客户分析, 数据预处理
总之，以下是 10 最受欢迎的 pytorch 课程
- Learning Deep Learning: Pearson
- Accelerate Model Training with PyTorch 2.X: Packt
- Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
- 生成式 AI 工程和微调变压器: IBM
- 用 Transformer 建立生成式 AI 语言模型: IBM
- Deep Learning with PyTorch : GradCAM: Coursera
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Classify Radio Signals with PyTorch: Coursera
- PyTorch 高级技术和应用: Packt
- 机器学习概论: Duke University
