深度学习课程
Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network，以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能，这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具，让您可以实现算法和优化模型，使您的学习体验与当前的行业实践密切相关。
热门 Deep Learning 课程和认证
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 图论, 自动编码器, 深度学习, 卷积神经网络, Machine Learning 方法, 嵌入, 模型评估, 生成对抗网络 (GAN), 医疗保健, 应用机器学习, 医疗保健项目管理, 人工神经网络, 健康信息管理, 模型部署, 机器学习, 大数据, 健康信息学, 递归神经网络 (RNN), 监督学习, 图像分析
状态：免费试用Duke University
您将获得的技能: 负责任的人工智能, MLOps（机器学习 Operator）, 数据管理, Data Management, NumPy, AWS SageMaker, 数据操作, 云部署, Python 程序设计, 数据分析, 拥抱的脸, 机器学习, 云计算, GitHub, 模型部署, 集装箱化, Devops, Pandas（Python 软件包）, 大数据, 探索性数据分析, 微软 Azure
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning
状态：免费试用您将获得的技能: 模型评估, PyTorch（机器学习库）, 视觉转换器（ViT）, 数据管道, 深度学习, Python 程序设计, 卷积神经网络, 机器学习, 模型部署, 数据预处理, 地理空间信息与技术, Keras（神经网络库）, 计算机视觉, 迁移学习
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：新状态：免费试用您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
是什么让您今天来到 Coursera？
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 图论, 自动编码器, 深度学习, 预测建模, 生成对抗网络 (GAN), Machine Learning 方法, Python 程序设计, 应用机器学习, 递归神经网络 (RNN), 医疗保健项目管理, 卷积神经网络, 人工神经网络, 无监督学习, 健康信息学, 图像分析
状态：免费试用您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Embeddings, Responsible AI, Software Development
状态：免费试用您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
状态：免费试用University of Colorado Boulder
您将获得的技能: 应用数学, 电子产品, 物理学, 半导体, 电气与计算机工程, 电子元件, 电子系统, 材料科学, 电子工程, 电气工程, 电子硬件, 数学建模
总之，以下是 10 最受欢迎的 deep learning 课程
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- MLOps | 机器学习运营: Duke University
- Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
- 使用深度学习的人工智能顶点项目: IBM
- Google Advanced Data Analytics: Google
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- 医疗保健领域的高级深度学习方法: University of Illinois Urbana-Champaign
- IBM RAG and Agentic AI: IBM
- IBM AI Enterprise Workflow: IBM
- Deep Learning with PyTorch : Siamese Network: Coursera
