神经网络课程
神经网络课程可以帮助您学习架构设计、反向传播、激活函数和优化技术的基础知识。您可以掌握训练模型、调整超参数和评估性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持在图像识别、自然语言处理和预测分析等实际应用中实现神经网络。
热门神经网络课程与认证
状态：新状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution
状态：新状态：预览Northeastern University
您将获得的技能: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms
状态：免费试用DeepLearning.AI
您将获得的技能: 生成式人工智能, PyTorch（机器学习库）, 信息隐私, 图像质量, 深度学习, 计算机视觉, 无监督学习, 数据伦理, 负责任的人工智能, 图像分析, 机器学习, 数据综合, 生成模型架构, 人工神经网络, 性能测试
状态：免费试用您将获得的技能: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy
状态：免费试用LearnQuest
您将获得的技能: 分类与回归树 (CART), Python 程序设计, Scikit-learn （机器学习库）, 张力流, 监督学习, 深度学习, 机器学习, 预测建模, 回归分析, Keras（神经网络库）, 随机森林算法, 人工神经网络
状态：免费试用您将获得的技能: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 图论, 人工智能和机器学习（AI/ML）, PyTorch（机器学习库）, Machine Learning 方法, 健康信息学, 无监督学习, 监督学习, 计算机视觉, 大数据, 医疗保健, 深度学习, 计划发展, 预测建模, 医学科学与研究, 图像分析, 张力流, 机器学习, 生成模型架构, 人工神经网络, 应用机器学习
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting
状态：免费试用DeepLearning.AI
您将获得的技能: Machine Learning 方法, 深度学习, 张力流, 时间序列分析和预测, 预测建模, Keras（神经网络库）, 机器学习, 人工神经网络, 预测, 数据处理
状态：免费试用您将获得的技能: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
状态：免费试用CertNexus
您将获得的技能: 监督学习, 深度学习, 计算机视觉, 自然语言处理, 回归分析, 随机森林算法, 决策树学习, 人工神经网络, 应用机器学习, 机器学习算法
总之，以下是 10 最受欢迎的 neural networks 课程
- Applied Natural Language Processing in Engineering Part 1: Northeastern University
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- 生成对抗网络 (GAN): DeepLearning.AI
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Deep Learning - Artificial Neural Networks with TensorFlow: Packt
- 神经网络和随机森林: LearnQuest
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- Building and Training Neural Networks with PyTorch: Packt
- 序列、时间序列和预测: DeepLearning.AI
