Search results

Jump to navigation Jump to search
Баннер1
  • || 神经网络 (Neural Networks) || 趋势跟踪、模式识别 || 强大的非线性建模能力,能够� || 循环神经网络 (Recurrent Neural Networks) || 时间序列预测 || 能够处理时间序列数据,捕捉时间依� ...
    8 KB (123 words) - 19:20, 11 April 2025
  • * **神经网络 (Neural Networks)**: 模仿人脑神经元结构的数学模型,是深度学习的基础� * **卷积神经网络 (Convolutional Neural Networks - CNN)**: 专门用于处理图像和视频数据的神经网络。 ...
    9 KB (173 words) - 06:36, 18 May 2025
  • ## Recurrent Neural Network '''循环神经网络 (Recurrent Neural Network, RNN)''' 是一种特别设计的[[神经网络]],旨在处理具 ...
    9 KB (304 words) - 08:43, 10 May 2025
  • * **卷积神经网络 (Convolutional Neural Networks - CNNs):** CNNs 特别擅长处理图像数据,它们能够自动学习� * **生成对抗网络 (Generative Adversarial Networks - GANs):** GANs 由两个神经网络组成:一个生成器和一个判� ...
    8 KB (151 words) - 18:01, 6 May 2025
  • * **图像识别:** 使用GPU加速卷积神经网络 (Convolutional Neural Networks, CNNs) 的训练和推理。例如,利用[[ResNet]]、[[VGGNet]]等模型 * **自然语言处理:** 使用GPU加速循环神经网络 (Recurrent Neural Networks, RNNs) 和Transformer模型的训练和推理。例如,利用[[BERT]]、[ ...
    10 KB (132 words) - 08:23, 18 May 2025
  • ...ning)''' | 学习一个度量空间,使得相似的任务在度量空间中距离更近。常用的方法包括 Siamese Networks 和 Matching Networks。 | 用于识别相似的市场模式,并基于历史数据预测未来� ...ed Meta-Learning)''' | 构建一个能够学习快速适应新任务的模型。常用的方法包括 Memory-Augmented Neural Networks (MANN)。| 用于存储和回顾历史市场数据,并在新的市场环� ...
    9 KB (155 words) - 12:20, 20 May 2025
  • # Neural Networks * **前馈神经网络 (Feedforward Neural Network):** 信息单向流动,从输入层到输出层,没有反馈回 ...
    9 KB (104 words) - 05:20, 8 May 2025
  • ...积神经网络]] (Convolutional Neural Networks, CNN) 和[[循环神经网络]] (Recurrent Neural Networks, RNN) 领域的进展,使得人工智能在图像识别、语音识别和 ...
    10 KB (108 words) - 05:01, 18 May 2025
  • LSTM (Long Short-Term Memory) 网络是一种特殊的[[循环神经网络 (Recurrent Neural Network, RNN)]],它在处理时间序列数据方面表现出色。对于 [[Category:循环神经网络 (Category:Recurrent Neural Networks)]] ...
    8 KB (135 words) - 11:00, 6 May 2025
  • * **时间序列预测:** 利用[[时间序列分析]] 和机器学习模型(如 [[循环神经网络]] (Recurrent Neural Networks, RNN) 和 [[长短期记忆网络]] (Long Short-Term Memory, LSTM))预测 * **生成对抗网络 (Generative Adversarial Networks, GANs):** 用于生成合成交易数据,增加训练数据的多样性 ...
    9 KB (85 words) - 08:41, 18 May 2025
  • * [[神经网络 (Neural Networks)]]:展示如何使用 PyTorch 构建和训练神经网络。 * **卷积神经网络 (Convolutional Neural Networks):** 用于图像识别和处理的神经网络。 ...
    10 KB (326 words) - 16:21, 9 May 2025
  • ...' (Convolutional Neural Networks, [[CNN]]) 和'''循环神经网络''' (Recurrent Neural Networks, [[RNN]]) 的应用,语音识别的准确率和鲁棒性得到了进一� ...
    10 KB (287 words) - 04:17, 18 May 2025
  • ...忆网络 (Long Short-Term Memory Networks),简称 LSTM,是一种特殊的 [[循环神经网络]] (Recurrent Neural Network, RNN) 架构,特别擅长处理和预测 [[时间序列数据]]� ...
    8 KB (157 words) - 18:42, 7 May 2025
  • ...Networks (CNNs), Recurrent Neural Networks (RNNs), and Feedforward Neural Networks. ...pport:''' CNTK offers APIs in [[Python]], [[C++]], and [[CNML]] (Cognitive Neural Network Language), providing flexibility for developers with different skil ...
    10 KB (1,202 words) - 11:29, 7 May 2025
  • [[Category:循环神经网络 (Category:Recurrent Neural Networks)]] ...
    8 KB (250 words) - 19:30, 7 May 2025
  • ## Gated Recurrent Unit '''Gated Recurrent Unit (GRU)''',即门控循环单元,是一种特殊的[[循环神经网 ...
    34 KB (393 words) - 08:16, 4 May 2025
  • [[AI Generative Adversarial Networks (GANs)]] [[AI Recurrent Neural Networks (RNNs)]] ...
    30 KB (2,688 words) - 03:00, 7 May 2025
  • [[Neural Networks]] [[Convolutional Neural Networks (CNNs)]] ...
    29 KB (1,765 words) - 10:02, 7 May 2025
  • [[Generative Adversarial Networks (GANs)]] [[Recurrent Neural Networks (RNNs)]] ...
    31 KB (1,929 words) - 01:26, 21 May 2025
Баннер