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。

Microsoft
您将获得的技能: 负责任的人工智能, 人工智能和机器学习(AI/ML), 模型评估, 模型部署, 分类算法, Scikit-learn (机器学习库), Virtual Machine, 监督学习, 数据库, MLOps(机器学习 Operator), 数据管道, 预测建模, 无监督学习, 应用机器学习, 微软 Azure, 机器学习, 回归分析
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
高级设置 · 课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
初级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, Dataflow, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Statistical Machine Learning, Machine Learning
中级 · 课程 · 1-3 个月

您将获得的技能: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing
中级 · 课程 · 1-3 个月

您将获得的技能: Google Cloud Platform, Tensorflow, Dataflow, Data Pipelines, Feature Engineering, Model Deployment, Real Time Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Big Data, Serverless Computing, Data Infrastructure, Unstructured Data, PySpark, Cloud Storage, Data Processing
中级 · 专项课程 · 3-6 个月

Universidad Austral
您将获得的技能: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
初级 · 课程 · 1-4 周

Universidades Anáhuac
您将获得的技能: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks
中级 · 专项课程 · 1-3 个月

Microsoft
您将获得的技能: 模型评估, 数据转换, 模型部署, 分布式计算, MLOps(机器学习 Operator), Apache Spark, 微软 Azure, 数据库, 探索性数据分析, PySpark, 数据处理, 深度学习, 大数据, 机器学习软件, 机器学习, 回归分析
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 数据安全, 负责任的人工智能, 模型部署, 数据伦理, 持续监测, 模型评估, MLOps(机器学习 Operator), 信息隐私, 数据管道, 云计算, 性能调整, 数据预处理, 数据库, 微软 Azure, 机器学习
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
高级设置 · 课程 · 3-6 个月