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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
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探索 TensorFlow 课程目录
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 决策树学习, 数据伦理, 分类与回归树 (CART), 监督学习, 人工神经网络, 随机森林算法, 负责任的人工智能, 性能调整, 机器学习, 张力流, 深度学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 嵌入式系统, 移动开发, 计算机视觉, 机器学习, 应用机器学习, 张力流, Machine Learning 方法, 安卓开发, Swift 编程, iOS 开发
Coursera Project Network
您将获得的技能: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
- 状态:免费
Coursera Project Network
您将获得的技能: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
- 状态:免费试用
您将获得的技能: 网络架构, 回归分析, 自然语言处理, 机器学习算法, 人工神经网络, 计算机视觉, PyTorch(机器学习库), Keras(神经网络库), 机器学习, 图像分析, 张力流, 深度学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 自然语言处理, 人工智能和机器学习(AI/ML), 人工神经网络, Keras(神经网络库), PyTorch(机器学习库), 张力流, 深度学习
- 状态:新状态:免费试用
您将获得的技能: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Responsible AI, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Machine Learning Methods, Unsupervised Learning, Natural Language Processing
- 状态:免费试用
您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy
Google Cloud
您将获得的技能: Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Google Cloud Platform, Deep Learning, Artificial Neural Networks
- 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)
Coursera Project Network
您将获得的技能: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Applied Machine Learning, Deep Learning, Machine Learning, Software Visualization
- 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
总之,以下是 10 最受欢迎的 tensorflow 课程
- 高级学习算法: DeepLearning.AI
- 基于设备的 TensorFlow Lite 模型: DeepLearning.AI
- TensorFlow for Beginners: Basic Binary Image Classification: Coursera Project Network
- TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
- 使用 Keras 的深度学习和神经网络简介: IBM
- 利用注意力模型进行自然语言处理: DeepLearning.AI
- Generative AI Models and Transformer Networks Certification: Simplilearn
- Deep Learning - Artificial Neural Networks with TensorFlow: Packt
- Introduction to Computer Vision with TensorFlow: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud