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There are 0 repository under minist topic.

• JJLi0427 / CNN_Masked_Autoencoder

  Design a patches masked autoencoder by CNN

  cnnministpytorchmasked-autoencoder
  Language:Python 11

• zggg1p / MINIST-Dataset-Classification

  This task focuses on training the MINIST dataset to get a feel for the differences between fully connected networks, neural networks, and the effects of different activation functions, training techniques (BN, Dropout, and L2 regularization) on the network. 本次任务主要是通过对MINIST数据集进行训练来感受全连接网络、神经网络的差异，以及不同激活函数、训练技巧（BN，Dropout以及L2正则化）对网络的影响。

  deep-learningneural-networkministclassification-model
  Language:Python 6

• HuangCongQing / tensorflow-minist

  TensorFlow与Flask结合打造手写体数字识别 | 学习网站：

  tensorflowministflask
  Language:JavaScript 4

• AnuragAnalog / Recognize-Hand-Written-Digits

  Machine Learning and Neural Network techniques to recognize handwritten digits with high accuracy

  ministdatasetneural-networkshandwritten-digitsrecognitionpytorchtrainingtestingaccuracyoptimizationepochs
  Language:Jupyter Notebook 1

• Elanchezhian2712 / Handwritten-Digit-Recognition-using-MNIST-Dataset-Task-3-

  Discover the Handwritten Digit Recognition! 🚀 Unleash the power of neural networks with this code snippet, as it delves into the world of AI-driven Handwritten Digit Recognition. The celebrated MNIST dataset serves as the foundation, guiding the process of building, training, and evaluating models for precise digit predictions.

  aiinactionbharat-interndata-sciencedigitrecognitioninternship-taskmachine-learningministmnistdatasetneual-network
  Language:Jupyter Notebook 0

• felixrlopezm / MINIST-image-digit-recognition-MPL-neural-network

  MINIST Image Digit Recognition by means of a MPL fully connected neural network

  ministudacitymplfully-connected-networkdigit-recognition
  Language:Jupyter Notebook 0