个结果，搜索词为 "artificial neural network"
状态：免费试用DeepLearning.AI
您将获得的技能: 微积分, 卷积神经网络, 监督学习, 人工神经网络, 递归神经网络 (RNN), Python 程序设计, 线性代数, 深度学习, 应用机器学习
状态：免费试用您将获得的技能: 概率与统计, 回归分析, 模型评估, 预测建模, PyTorch（机器学习库）, 逻辑回归, Machine Learning 方法, 人工神经网络, 分类算法, 张力流, 数据预处理, 深度学习
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
状态：免费试用DeepLearning.AI
您将获得的技能: 迁移学习, PyTorch（机器学习库）, 机器学习, 调试, 卷积神经网络, 自然语言处理, 监督学习, 拥抱的脸, MLOps（机器学习 Operator）, Keras（神经网络库）, 递归神经网络 (RNN), 计算机视觉, 深度学习, 数据预处理, 性能调整, 嵌入, 图像分析, 人工神经网络, 应用机器学习, 张力流
状态：免费试用您将获得的技能: 回归分析, 模型评估, 分类与回归树 (CART), 自然语言处理, 卷积神经网络, Keras（神经网络库）, 迁移学习, 机器学习, 人工神经网络, 自动编码器, 深度学习, 图像分析, 递归神经网络 (RNN), 应用机器学习, 网络架构
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
是什么让您今天来到 Coursera？
状态：免费试用CertNexus
您将获得的技能: 卷积神经网络, 自然语言处理, 预测建模, 计算机视觉, 人工神经网络, 分类算法, 人工智能和机器学习（AI/ML）, 随机森林算法, 机器学习算法, 决策树学习, 深度学习, 应用机器学习, 监督学习, 递归神经网络 (RNN)
状态：预览Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Computer Vision, Deep Learning, Network Architecture, Machine Learning
状态：免费试用DeepLearning.AI
您将获得的技能: 模型评估, Machine Learning 方法, 人工神经网络, 验证和确认, 张力流, 性能调整, 深度学习, 数据预处理
状态：新状态：免费试用您将获得的技能: Healthcare 5.0, Artificial Intelligence, AI Enablement, Jupyter, Healthcare Ethics, Health Informatics, Healthcare Industry Knowledge, LLM Application, Machine Learning, Deep Learning, Machine Learning Software, MLOps (Machine Learning Operations), Generative Model Architectures, Statistical Machine Learning, AI Product Strategy, Model Evaluation, Predictive Modeling, Data-Driven Decision-Making, Data Processing, Data Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 迁移学习, 自然语言处理, Machine Learning 方法, 降维, 文本挖掘, 监督学习, 嵌入, 马尔可夫模型, 分类算法, Keras（神经网络库）, 递归神经网络 (RNN), 功能工程, 人工神经网络, 统计机器学习, 深度学习, 张力流, Algorithm, 数据预处理, 应用机器学习
总之，以下是 10 最受欢迎的 artificial neural network 课程
- 神经网络与深度学习: DeepLearning.AI
- 神经网络和 PyTorch 简介: IBM
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 深度学习: DeepLearning.AI
- 使用 Keras 的深度学习和神经网络简介: IBM
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- 构建决策树、SVM 和人工神经网络: CertNexus
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
- Artificial Intelligence for Healthcare: SkillUp
