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“keras（神经网络库）” 的结果
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, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics
状态：免费试用您将获得的技能: 机器学习, Machine Learning 方法, 张力流, 回归分析, 人工神经网络, 计算机视觉, 网络模型, 网络架构, 自然语言处理, Keras（神经网络库）, 图像分析, 深度学习
状态：新状态：免费试用您将获得的技能: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning
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
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Keras (Neural Network Library), Tensorflow
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 调试, MLOps（机器学习 Operator）, 大型语言模型, 人工智能, 监督学习, 张力流, Python 程序设计, 人工神经网络, 计算机视觉, 数据驱动的决策制定, 应用机器学习, 性能调整, 自然语言处理, 人工智能和机器学习（AI/ML）, PyTorch（机器学习库）, 生成式人工智能, Keras（神经网络库）, 图像分析, 深度学习
状态：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Data Cleansing, Application Deployment, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
状态：免费试用您将获得的技能: Machine Learning 方法, 张力流, 人工智能, 强化学习, 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, 性能调整, 自然语言处理, Keras（神经网络库）, 深度学习
状态：免费试用您将获得的技能: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Prompt Patterns, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Supervised Learning, Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Feature Engineering, Data Analysis, Data Cleansing, Data Manipulation, Unit Testing, LLM Application, Data Import/Export
状态：新状态：预览Simplilearn
您将获得的技能: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming
状态：免费试用您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)
总之，以下是 10 最受欢迎的 keras（神经网络库） 课程
- Deep Learning with TensorFlow: Packt
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 Keras 的深度学习和神经网络简介: IBM
- Machine Learning, Data Science and Generative AI with Python: Packt
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Deep Learning for Computer Vision: University of Colorado Boulder
- 深度学习: DeepLearning.AI
- Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- IBM Generative AI Engineering: IBM
