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主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
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教师必需的
“artificial neural network” 的结果
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Generative AI, Deep Learning, Responsible AI, Artificial Intelligence, Machine Learning, Unsupervised Learning, Artificial Neural Networks, AI Product Strategy, Regression Analysis, Business Ethics, Computer Vision, Governance
状态：免费试用CertNexus
您将获得的技能: 机器学习算法, 回归分析, 监督学习, 决策树学习, 人工神经网络, 随机森林算法, 应用机器学习, 深度学习, 自然语言处理, 计算机视觉
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 无监督学习, 人工神经网络, 生成式人工智能, 生成模型架构, Keras（神经网络库）, 深度学习, 图像分析, 计算机视觉
状态：免费试用University of Michigan
您将获得的技能: Machine Learning Methods, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Statistical Machine Learning, Reinforcement Learning, Artificial Neural Networks, Automation, Algorithms
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment
状态：免费试用LearnQuest
您将获得的技能: 分类与回归树 (CART), 预测建模, 张力流, 机器学习算法, 回归分析, 监督学习, 人工神经网络, Python 程序设计, 深度学习, Keras（神经网络库）, 随机森林算法, 机器学习, Scikit-learn （机器学习库）
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 人工神经网络, 人工智能和机器学习（AI/ML）, PyTorch（机器学习库）, Keras（神经网络库）, 深度学习, 自然语言处理
您将获得的技能: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning
状态：免费试用University of Michigan
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, AI Product Strategy, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Algorithms
状态：预览Universidad de los Andes
您将获得的技能: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Computer Vision, Image Analysis, Natural Language Processing, Embedded Systems, Machine Learning, Deep Learning, Supervised Learning, Ethical Standards And Conduct, Decision Making, Knowledge Transfer
状态：新状态：免费试用Saïd Business School, University of Oxford
您将获得的技能: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service
状态：免费试用您将获得的技能: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra
与 artificial neural network 相关的搜索
总之，以下是 10 最受欢迎的 artificial neural network 课程
- Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
- 构建决策树、SVM 和人工神经网络: CertNexus
- 使用 TensorFlow 进行生成式深度学习: DeepLearning.AI
- AI for Autonomous Vehicles and Robotics: University of Michigan
- Building and Training Neural Networks with PyTorch: Packt
- 神经网络和随机森林: LearnQuest
- 利用注意力模型进行自然语言处理: DeepLearning.AI
- Deep Neural Network for Beginners Using Python: Packt
- AI for Design and Optimization: University of Michigan
- Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
