TensorFlow 课程
TensorFlow 课程可以帮助您学习神经网络、深度学习技术和模型部署策略。您可以掌握数据预处理、超参数调整和性能评估方面的技能。许多课程都会介绍用于构建模型的 Keras、用于可视化的 TensorBoard 等工具，以及用于将 AI 集成到应用程序中的各种 API。
热门 TensorFlow 课程和认证
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Model Training, Data Preprocessing, Feature Engineering, Model Optimization, Data Processing, Deep Learning, Cloud Deployment, Data Transformation, Machine Learning Methods, Artificial Neural Networks
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Artificial Neural Networks, Deep Learning, Cloud Deployment, Model Optimization, Embeddings, Data Pipelines, Data Transformation
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Transformation, Deep Learning, Data Processing, Artificial Neural Networks, Data Preprocessing, Data Manipulation, Machine Learning Methods, Cloud Deployment, Data Pipelines, Application Programming Interface (API)
您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
您将获得的技能: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
您将获得的技能: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Google Cloud
您将获得的技能: 机器学习, 性能调整, Google Cloud 平台, 模型优化, MLOps（机器学习运营）, 系统设计, 数据管道, 依赖性分析, 张力流, 混合云计算, 分布式计算, 模型部署, 模型培训
DeepLearning.AI
您将获得的技能: 数据伦理, 迁移学习, 随机森林算法, 回归分析, 机器学习, 机器学习算法, 模型评估, 分类算法, 逻辑回归, 决策树学习, 模型优化, Transfer Learning, 人工神经网络, 监督学习, 深度学习, 负责任的人工智能, 张力流, 应用机器学习, 模型培训, Model Evaluation
您将获得的技能: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
DeepLearning.AI
您将获得的技能: 嵌入, 文本挖掘, 机器学习方法, 功能工程, 分类算法, 逻辑回归, 降维, 监督学习, 自然语言处理, 统计机器学习
DeepLearning.AI
您将获得的技能: 嵌入, 数据预处理, 文本挖掘, 机器学习方法, 功能工程, 逻辑回归, 分类算法, 迁移学习, 降维, 微调, Transfer Learning, 监督学习, 应用机器学习, 自然语言处理, 深度学习, 人工神经网络, 统计机器学习, 马尔可夫模型, 张力流, 递归神经网络 (RNN), 大型语言建模
DeepLearning.AI
您将获得的技能: 嵌入, 生成模型架构, 机器学习方法, 网络架构, 文本挖掘, 张力流, 自然语言处理, 人工神经网络, 深度学习, 大型语言建模, 递归神经网络 (RNN), 模型培训
总之，以下是 10 最受欢迎的 tensorflow 课程
- Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Natural Language Processing - Deep Learning Models in Python: Packt
- Tokens to Deployment: NLP, Language Models, & Production API: Coursera
- Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
- 生产型机器学习系统: Google Cloud
- 高级学习算法: DeepLearning.AI
- Python Machine Learning By Example: Packt
- 利用分类和向量空间进行自然语言处理: DeepLearning.AI
