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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: Python 程序设计, 微积分, 线性代数, 人工智能, 监督学习, 人工神经网络, 机器学习, 深度学习
状态：免费试用您将获得的技能: 网络架构, 回归分析, 自然语言处理, 机器学习算法, 人工神经网络, 计算机视觉, PyTorch（机器学习库）, Keras（神经网络库）, 机器学习, 图像分析, 张力流, 深度学习
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：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：免费试用DeepLearning.AI
您将获得的技能: Python 程序设计, 数据驱动的决策制定, 人工智能, 人工智能和机器学习（AI/ML）, 自然语言处理, 监督学习, 机器学习算法, 应用机器学习, 人工神经网络, 调试, 计算机视觉, Keras（神经网络库）, PyTorch（机器学习库）, 性能调整, 功能工程, 机器学习, 文本挖掘, 张力流, 图像分析, 深度学习
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 回归分析, 数据操作, 预测建模, 人工神经网络, PyTorch（机器学习库）, 概率与统计, 机器学习, 张力流, 深度学习
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DeepLearning.AI
您将获得的技能: Algorithm, 人工智能和机器学习（AI/ML）, 人工神经网络, 计算机视觉, 功能工程, 张力流, PyTorch（机器学习库）, 应用机器学习, Keras（神经网络库）, 图像分析, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 监督学习, 人工智能和机器学习（AI/ML）, 人工神经网络, 机器学习算法, 应用机器学习, 性能调整, 张力流, 深度学习
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：免费试用您将获得的技能: 网络架构, 监督学习, 计算机视觉, 人工神经网络, 机器学习, PyTorch（机器学习库）, 深度学习
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
- 使用 Keras 的深度学习和神经网络简介: IBM
- Learning Deep Learning: Pearson
- Deep Learning with TensorFlow: Packt
- Foundations of Neural Networks: Johns Hopkins University
- 深度学习: DeepLearning.AI
- 神经网络和 PyTorch 简介: IBM
- Introduction to Neural Networks: Johns Hopkins University
- 卷积神经网络: DeepLearning.AI
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
