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: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Artificial Neural Networks, Unstructured Data, Deep Learning, Data Processing, Machine Learning Methods, Machine Learning
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis, Data Processing
您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: 大型语言模型, 张力流, PyTorch（机器学习库）, Keras（神经网络库）, 自然语言处理, 人工智能和机器学习（AI/ML）, 人工神经网络, 深度学习
状态：免费试用University of Pennsylvania
您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Network Architecture
状态：免费试用DeepLearning.AI
您将获得的技能: 无监督学习, 生成式人工智能, 计算机视觉, PyTorch（机器学习库）, 生成模型架构, 人工神经网络, 深度学习, 负责任的人工智能, 数据伦理
状态：免费试用Johns Hopkins University
您将获得的技能: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing
状态：免费试用您将获得的技能: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture
状态：预览Yonsei University
您将获得的技能: 人工智能, 监督学习, 企业战略, 无监督学习, 张力流, 机器学习, 自然语言处理, 图像分析, 强化学习, 人工神经网络, 深度学习
状态：免费试用您将获得的技能: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis
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
与 neural networks 相关的搜索
总之，以下是 10 最受欢迎的 neural networks 课程
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- Learning Deep Learning: Unit 2: Pearson
- Advanced RNN Concepts and Projects: Packt
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
- 利用注意力模型进行自然语言处理: DeepLearning.AI
- Deep Learning Essentials: University of Pennsylvania
- 构建基本的生成对抗网络 (GAN): DeepLearning.AI
- Advanced Neural Network Techniques: Johns Hopkins University
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- 商业深度学习: Yonsei University
