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在整个课程（说明和评估）中使用的语言。
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“artificial neural network” 的结果
状态：预览Yonsei University
您将获得的技能: 人工智能, 企业战略, 监督学习, 自然语言处理, 人工神经网络, 机器学习, 张力流, 无监督学习, 图像分析, 深度学习, 强化学习
状态：新状态：免费试用您将获得的技能: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods
状态：免费试用L&T EduTech
您将获得的技能: 预测建模, 人工智能, 石油和天然气, 计算机工程, 人工神经网络, 计算机视觉, 自动化, 工程软件, 机器学习算法, 数据处理, 机器学习, 应用机器学习, 张力流, 土木工程, 图像分析, 电气工程, 机械工程, 深度学习
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：预览Intel
您将获得的技能: 网络架构, 可扩展性, 自然语言处理, 计算机视觉, 人工神经网络, 生成式人工智能, Machine Learning 方法, 性能调整, 强化学习, 深度学习
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
状态：免费试用您将获得的技能: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
状态：免费试用DeepLearning.AI
您将获得的技能: 无监督学习, 人工神经网络, 张力流, 生成模型架构, 生成式人工智能, Keras（神经网络库）, 图像分析, 计算机视觉, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 自然语言处理, 人工智能和机器学习（AI/ML）, 人工神经网络, Keras（神经网络库）, PyTorch（机器学习库）, 张力流, 深度学习
状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy
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
- 商业深度学习: Yonsei University
- Natural Language Processing - Deep Learning Models in Python: Packt
- 人工智能的工业应用: L&T EduTech
- AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
- 实用深度学习入门: Intel
- Deep Neural Network for Beginners Using Python: Packt
- Foundations of Deep Learning and Neural Networks: Packt
- Advanced AI and Machine Learning Techniques and Capstone: Microsoft
- 使用 TensorFlow 进行生成式深度学习: DeepLearning.AI
- 利用注意力模型进行自然语言处理: DeepLearning.AI
