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：免费试用Politecnico di Milano
您将获得的技能: 人工智能, 物联网, 数据中心, 云平台, 云计算, 硬件架构, 新兴技术, 信息技术, 嵌入式系统, 深度学习
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus
状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy
状态：预览Intel
您将获得的技能: 网络架构, 可扩展性, 自然语言处理, 生成式人工智能, Machine Learning 方法, 计算机视觉, 性能调整, 强化学习, 深度学习, 人工神经网络
状态：预览Yonsei University
您将获得的技能: 人工智能, 自然语言处理, 监督学习, 强化学习, 无监督学习, 张力流, 机器学习, 企业战略, 人工神经网络, 深度学习, 图像分析
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
您将获得的技能: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning
状态：免费试用DeepLearning.AI
您将获得的技能: 负责任的人工智能, PyTorch（机器学习库）, 信息隐私, 数据综合, 计算机视觉, 生成式人工智能, 无监督学习, 数据伦理, 深度学习, 图像分析, 生成模型架构
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms
状态：免费试用您将获得的技能: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing
与 neural networks 相关的搜索
总之，以下是 10 最受欢迎的 neural networks 课程
- 人工智能技术和平台: Politecnico di Milano
- Neuronale Netze und Deep Learning: DeepLearning.AI
- Advanced Generative Adversarial Networks (GANs): Packt
- 实用深度学习入门: Intel
- 商业深度学习: Yonsei University
- Introduction to RNN and DNN: Packt
- Neural Models and Machine Translation: Edureka
- Deep Neural Network for Beginners Using Python: Packt
- 应用生成式对抗网络 (GAN): DeepLearning.AI
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
