Recurrent Neural Network(循环神经网络)课程可以帮助您学习序列预测、时间序列分析和自然语言处理技术。您可以掌握设计和训练 RNN Architecture、优化模型性能和实施长短期记忆(LSTM)网络的技能。许多课程介绍了 TensorFlow 和 Keras 等工具,这些工具支持开发需要处理序列数据的 AI 应用程序,使您能够在实际场景中应用所学知识。

DeepLearning.AI
您将获得的技能: 深度学习, Python 程序设计, 人工神经网络, 递归神经网络 (RNN), 线性代数, 卷积神经网络, 应用机器学习, 微积分, 监督学习
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 人工智能, 模型评估, 深度学习, 张力流, 卷积神经网络, 机器学习, 人工神经网络, Keras(神经网络库), 计算机视觉, 数据预处理, 图像分析
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
中级 · 专项课程 · 3-6 个月

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 张力流, 生成式人工智能, 人工神经网络, 文本挖掘, 应用机器学习, 机器学习, 自然语言处理, 嵌入, 数据预处理, 递归神经网络 (RNN)
中级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
中级 · 专项课程 · 1-3 个月

Yonsei University
您将获得的技能: 人工智能, 张力流, 强化学习, 自然语言处理, 深度学习, 卷积神经网络, 人工神经网络, 无监督学习, 人工智能和机器学习(AI/ML), 企业战略, 递归神经网络 (RNN), 机器学习, 技术战略
初级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 张力流, Machine Learning 方法, 模型评估, 验证和确认, 人工神经网络, 深度学习, 性能调整, 数据预处理
中级 · 课程 · 1-4 周