筛选依据
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
字幕必需的
教师必需的
探索神经网络课程目录
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, 微积分, 线性代数, 监督学习, 人工神经网络, Python 程序设计, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, MLOps（机器学习 Operator）, PyTorch（机器学习库）, 人工智能和机器学习（AI/ML）, 监督学习, 数据驱动的决策制定, 文本挖掘, 计算机视觉, Python 程序设计, 应用机器学习, 人工神经网络, 调试, 图像分析, 性能调整, 自然语言处理, 功能工程, 深度学习, 张力流, Keras（神经网络库）
状态：免费试用您将获得的技能: 机器学习, 计算机视觉, 回归分析, Machine Learning 方法, 网络模型, 网络架构, 人工神经网络, 自然语言处理, 图像分析, 张力流, 深度学习, Keras（神经网络库）
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 机器学习, 数据操作, 预测建模, 回归分析, 人工神经网络, 深度学习, 张力流, 概率与统计
是什么让您今天来到 Coursera？
状态：免费试用Johns Hopkins University
您将获得的技能: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Network Architecture, Linear Algebra, Performance Tuning, Probability & Statistics
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
状态：新状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science
状态：免费试用DeepLearning.AI
您将获得的技能: Algorithm, PyTorch（机器学习库）, 人工智能和机器学习（AI/ML）, 计算机视觉, 功能工程, 人工神经网络, 张力流, Keras（神经网络库）, 应用机器学习, 图像分析, 深度学习
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 机器学习, 计算机视觉, 监督学习, 网络架构, 人工神经网络, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 人工智能和机器学习（AI/ML）, 人工神经网络, 应用机器学习, 机器学习算法, 监督学习, 性能调整, 深度学习, 张力流
Neural Networks 学习者也搜索
总之，以下是 10 最受欢迎的 neural networks 课程
- 神经网络与深度学习: DeepLearning.AI
- 深度学习: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- Foundations of Neural Networks: Johns Hopkins University
- Learning Deep Learning: Pearson
- 神经网络和 PyTorch 简介: IBM
- Introduction to Neural Networks: Johns Hopkins University
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Deep Learning with TensorFlow: Packt
- 卷积神经网络: DeepLearning.AI
