Keras 课程
Keras 课程可以帮助您学习神经网络设计、模型训练和性能评估技术。您可以掌握优化 Hyperparameter、实施卷积层和递归层以及在各种应用中使用 Transfer Learning 的技能。许多课程介绍了 TensorFlow 和 Python 等工具，这些工具支持开发 AI 模型并将其部署到实际工作中。
热门 Keras 课程和认证
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Tensorflow, Deep Learning, Feature Engineering, Performance Testing, Machine Learning Methods, Applied Machine Learning, Google Cloud Platform, Application Development, Data Processing, Systems Development, Python Programming, Data Transformation
状态：免费试用您将获得的技能: 网络架构, 计算机视觉, Machine Learning 方法, 回归分析, 自然语言处理, 网络模型, 机器学习, 张力流, Keras（神经网络库）, 深度学习, 图像分析, 人工神经网络
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
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）, Machine Learning 方法, 生成式人工智能, 强化学习, 深度学习, 张力流, 无监督学习, 性能调整, Keras（神经网络库）, 人工神经网络
状态：免费试用IBM
您将获得的技能: LLM 申请, 计算机视觉, 大型语言模型, PyTorch（机器学习库）, 自然语言处理, Prompt Engineering, Apache Spark, 数据科学, 生成式人工智能, 监督学习, PySpark, Python 程序设计, 功能工程, 强化学习, Keras（神经网络库）, 深度学习, 应用机器学习, 机器学习, Jupyter, 无监督学习
状态：免费试用您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
是什么让您今天来到 Coursera？
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
状态：免费试用您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks
状态：免费试用Imperial College London
您将获得的技能: 数据管道, 贝叶斯统计, 自然语言处理, Data Validation, Machine Learning 方法, 监督学习, 计划发展, 计算机视觉, 计算机编程, 人工神经网络, 数据处理, 无监督学习, 应用机器学习, 机器学习, Keras（神经网络库）, 张力流, 深度学习, 预测建模, 图像分析, 生成模型架构
您将获得的技能: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision
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
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
与 keras 相关的搜索
总之，以下是 10 最受欢迎的 keras 课程
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- 使用 Keras 的深度学习和神经网络简介: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- IBM 人工智能工程: IBM
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Deep Learning with TensorFlow: Packt
- Machine Learning for Trading: New York Institute of Finance
- 用于深度学习的 TensorFlow 2: Imperial College London
- Creating Multi Task Models With Keras: Coursera
