筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“neural network” 的结果
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：预览University of Washington
您将获得的技能: 线性代数, 监督学习, 计算机科学, 计算思维, 网络模型, 计算机视觉, 信息架构, 生物学, 机器学习算法, 人工神经网络, 数学建模, 概率与统计, Matlab, 微分方程, 强化学习
状态：免费试用您将获得的技能: Artificial Intelligence, Python Programming, Machine Learning Methods
Google Cloud
您将获得的技能: 自然语言处理, 人工神经网络, 应用机器学习, 性能调整, Machine Learning 方法, 深度学习
状态：新状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality
状态：新状态：免费试用您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning Methods
状态：免费试用您将获得的技能: 人工智能, 自然语言处理, 人工智能和机器学习（AI/ML）, 无监督学习, 人工神经网络, 生成式人工智能, Keras（神经网络库）, 性能调整, 张力流, Machine Learning 方法, 强化学习, 深度学习
Coursera Project Network
您将获得的技能: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
状态：新状态：免费试用Coursera
您将获得的技能: Network Architecture
状态：新状态：预览您将获得的技能: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
状态：新状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science
总之，以下是 10 最受欢迎的 neural network 课程
- Deep Neural Network for Beginners Using Python: Packt
- 计算神经科学: University of Washington
- Practical Deep Learning with Python: Edureka
- 注意机制: Google Cloud
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- Attention Mechanisms and Transformer Models Course: Simplilearn
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Basic Image Classification with TensorFlow: Coursera Project Network
- Learning Deep Learning: Pearson
- Deep Learning with PyTorch: Coursera
