个结果，搜索词为 "artificial neural network"
状态：免费试用您将获得的技能: 回归分析, PyTorch（机器学习库）, 逻辑回归, 卷积神经网络, 监督学习, 人工神经网络, 模型评估, 分类算法, 人工智能和机器学习（AI/ML）, 张力流, 图像分析, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: Python 程序设计, 卷积神经网络, 机器学习, 线性代数, 监督学习, Algorithm, 递归神经网络 (RNN), 性能调整, 人工神经网络, 人工智能和机器学习（AI/ML）, 应用机器学习, 深度学习
状态：免费试用您将获得的技能: 回归分析, 计算机视觉, Transfer Learning, PyTorch（机器学习库）, 卷积神经网络, 机器学习, 监督学习, Keras（神经网络库）, 递归神经网络 (RNN), Algorithm, 模型评估, 机器学习算法, 人工神经网络, 自动编码器, 应用机器学习, 张力流, 图像分析, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, Transfer Learning, PyTorch（机器学习库）, 自然语言处理, 卷积神经网络, 机器学习, 监督学习, 模型评估, Keras（神经网络库）, 递归神经网络 (RNN), 嵌入, 拥抱的脸, 人工神经网络, 大型语言模型, 人工智能, 人工智能和机器学习（AI/ML）, 应用机器学习, 张力流, 图像分析, 深度学习
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
状态：免费试用CertNexus
您将获得的技能: 预测建模, 计算机视觉, 机器学习算法, 自然语言处理, 决策树学习, 监督学习, 递归神经网络 (RNN), 卷积神经网络, 人工神经网络, 分类算法, 随机森林算法, 人工智能和机器学习（AI/ML）, 应用机器学习, 深度学习
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, Algorithm, 模型评估, 调试, 人工神经网络, 性能调整, 人工智能和机器学习（AI/ML）, 应用机器学习, 张力流, 深度学习
状态：预览Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
状态：免费试用Johns Hopkins University
您将获得的技能: Responsible AI, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Model Deployment, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：免费试用Dartmouth College
您将获得的技能: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation
状态：新状态：免费试用您将获得的技能: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Probability Distribution, Probability & Statistics, Machine Learning Methods, Model Evaluation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Logistic Regression, Machine Learning Algorithms, Statistical Methods, Classification Algorithms, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence
总之，以下是 10 最受欢迎的 artificial neural network 课程
- 神经网络和 PyTorch 简介: IBM
- 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
- 深度学习: DeepLearning.AI
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- 构建决策树、SVM 和人工神经网络: CertNexus
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- Foundations of Neural Networks: Johns Hopkins University
- Machine Learning with Neural Networks: Dartmouth College
