NLP 课程可以帮助您学习文本处理、Sentiment Analysis、语言模型和聊天机器人开发。您可以掌握数据预处理、Feature Extraction 和 Model Evaluation 性能方面的技能。许多课程介绍了 NLTK 和 spaCy 等 Python 库以及 TensorFlow 和 PyTorch 等框架等工具,这些工具支持实施 NLP 技术和开发利用人工智能的应用程序。

您将获得的技能: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
中级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
★ 4.3 (9) · 中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Natural Language Processing, Generative Model Architectures, Large Language Modeling, LLM Application
高级设置 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Deep Learning, Model Optimization, Tensorflow, Model Evaluation, Model Training, Artificial Neural Networks, Performance Tuning, Test Data, Machine Learning, Debugging, Algorithms
初级 · 课程 · 1-4 周

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
中级 · 课程 · 1-3 个月

University of Maryland, College Park
您将获得的技能: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Customer Insights, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Amazon Web Services, Tensorflow, Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Classification Algorithms, Software Design, Application Development, Model Evaluation
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
中级 · 课程 · 1-4 周

您将获得的技能: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Performance Testing, Deep Learning, Vision Transformer (ViT)
中级 · 课程 · 1-4 周

您将获得的技能: OpenAI API, OpenAI, Generative AI, ChatGPT, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, AI Integrations, Natural Language Processing, Authentications, Application Programming Interface (API), Node.JS, Fine-tuning
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures
高级设置 · 课程 · 1-4 周

Pearson
您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture
中级 · 课程 · 1-4 周