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
状态：预览Intel
您将获得的技能: 计算机视觉, 人工神经网络, 自然语言处理, 强化学习, 网络架构, 性能调整, Machine Learning 方法, 生成式人工智能, 可扩展性, 深度学习
您将获得的技能: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving
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
您将获得的技能: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, PyTorch（机器学习库）, 数据综合, 生成模型架构, 负责任的人工智能, 无监督学习, 数据伦理, 生成式人工智能, 信息隐私, 图像分析, 深度学习
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: 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：免费试用Illinois Tech
您将获得的技能: Deep Learning, Generative AI, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning
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: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms, Verification And Validation
总之，以下是 10 最受欢迎的 neural networks 课程
- RNN Architecture and Sentiment Classification: Packt
- 实用深度学习入门: Intel
- CNNs with TensorFlow: Basics of Machine Learning: Coursera
- Introduction to RNN and DNN: Packt
- Deep Learning with PyTorch : Siamese Network: Coursera
- 应用生成式对抗网络 (GAN): DeepLearning.AI
- Advanced Machine Learning and Deep Learning: Packt
- Advanced Generative Adversarial Networks (GANs): Packt
- Deep Learning: Illinois Tech
- Neural Models and Machine Translation: Edureka
