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。

您将获得的技能: 深度学习, 模型培训, 模型优化, 图像分析, PyTorch(机器学习库), Model Evaluation, 卷积神经网络, 模型评估, 分类算法, 应用机器学习, 人工神经网络, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-3 个月

Board Infinity
您将获得的技能: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management
中级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, 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

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, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 深度学习, 模型培训, 微调, 迁移学习, 图像分析, 张力流, Transfer Learning, 卷积神经网络, 数据预处理, 网络架构, 嵌入, 计算机视觉, 人工神经网络, 应用机器学习
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Data Processing, Model Optimization, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Feature Engineering, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Development Environment
混合 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 深度学习, 模型培训, 模型优化, 人工智能, 监督学习, 递归神经网络 (RNN), Python 编程, 机器学习方法, 卷积神经网络, 人工神经网络, 应用机器学习
中级 · 课程 · 1-4 周

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

DeepLearning.AI
您将获得的技能: 模型培训, 模型优化, 微调, 法学硕士申请, 生成式人工智能, 机器学习, 模型部署, 强化学习, Model Evaluation, 生成模型架构, Python 编程, 大型语言建模, 模型评估, 可扩展性
中级 · 课程 · 1-4 周

您将获得的技能: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing
初级 · 课程 · 1-4 周