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: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
中级 · 课程 · 3-6 个月

您将获得的技能: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation
高级设置 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing
中级 · 项目 · 不超过 2 小时

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
混合 · 课程 · 1-4 周

您将获得的技能: ChatGPT, OpenAI API, Model Deployment, LLM Application, Tool Calling, Large Language Modeling, Prompt Engineering, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Data Science
初级 · 课程 · 1-4 周

您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
中级 · 课程 · 1-3 个月

您将获得的技能: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
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, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
中级 · 专项课程 · 3-6 个月

您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
中级 · 课程 · 1-4 周

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, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
初级 · 课程 · 1-4 周