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
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：预览University of Colorado Boulder
您将获得的技能: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture
状态：新状态：预览您将获得的技能: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Predictive Modeling, Data Management, Performance Tuning, Continuous Monitoring
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
您将获得的技能: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Tensorflow, Information Privacy, Data Ethics, Google Cloud Platform, Image Analysis, Semantic Web, Artificial Intelligence, AI Product Strategy, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
您将获得的技能: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment
状态：新您将获得的技能: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Time Series Analysis and Forecasting, Algorithms
状态：新状态：预览Northeastern University
您将获得的技能: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision
与 tensorflow 相关的搜索
总之，以下是 10 最受欢迎的 tensorflow 课程
- Introduction to CNN Training: Simplilearn
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
- Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
- Machine Learning in the Enterprise - Español: Google Cloud
- Deep Learning with Keras and Practical Applications: Packt
- Introduction to AI and Machine Learning on GC - Français: Google Cloud
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- Geliştiriciler için Üretken Yapay Zeka: Google Cloud
- Matrix Calculus for Data Science & Machine Learning: Packt
- A Practical Approach to Timeseries Forecasting Using Python: Packt
