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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
DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, MLOps(机器学习 Operator), PyTorch(机器学习库), 人工智能和机器学习(AI/ML), 监督学习, 数据驱动的决策制定, 文本挖掘, 计算机视觉, Python 程序设计, 应用机器学习, 人工神经网络, 调试, 图像分析, 性能调整, 自然语言处理, 功能工程, 深度学习, 张力流, Keras(神经网络库)
- 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:免费试用
您将获得的技能: 机器学习, 计算机视觉, 回归分析, Machine Learning 方法, 网络模型, 网络架构, 人工神经网络, 自然语言处理, 图像分析, 张力流, 深度学习, Keras(神经网络库)
- 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)
是什么让您今天来到 Coursera?
- 状态:免费试用
您将获得的技能: 人工智能, Machine Learning 方法, 无监督学习, 人工智能和机器学习(AI/ML), 强化学习, 人工神经网络, 生成式人工智能, 自然语言处理, 性能调整, 深度学习, 张力流, Keras(神经网络库)
- 状态:免费试用
您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Data Ethics, Predictive Modeling, Artificial Neural Networks, Dataflow, Data Pipelines, Performance Tuning, Deep Learning
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 时间序列分析和预测, Machine Learning 方法, 预测建模, 人工神经网络, 数据处理, 预测, 张力流, 深度学习, Keras(神经网络库)
- 状态:免费试用
您将获得的技能: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 预测建模, 监督学习, 计算机视觉, 人工神经网络, 数据处理, 应用机器学习, 图像分析, 深度学习, 张力流, Keras(神经网络库)
- 状态:免费试用
您将获得的技能: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning
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
- 深度学习: DeepLearning.AI
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- 使用 Keras 的深度学习和神经网络简介: IBM
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- 序列、时间序列和预测: DeepLearning.AI
- Deep Learning with Real-World Projects: Packt