Kiarash KarimiHow to use Autoencoders for Classification on the Fashion-MNIST Dataset ?In this story I’ll explain how to creat a Autoencoder and how to use that on Fashion-Mnist dataset as a Classifier.Jul 13
Bhargavi PoyekarBuilding simple Neural Networks (NN, CNN) using Pytorch for MNIST dataset.As I continue on my journey to master artificial intelligence, I’ve completed my next milestone: learning how to build different types of…Apr 15
BenzaimafadiEnhancing Digit Recognition: Exploring SVM and HOG Features with MNISTEver since the MNIST dataset was introduced by Yann LeCun and Corinna Cortes, digit recognition has been an area of extensive study and…Jul 12Jul 12
Alireza KeshavarzImage Denoising Using Autoencoders (Improved version)An autoencoder is a type of neural network that learns to compress and reconstruct input data. It consists of an encoder that compresses…Jun 24, 20231Jun 24, 20231
Sten RaakThe Size Factor: Evaluating Student Model Dimensions in MNIST Knowledge DistillationIntroductionMay 30May 30
Kiarash KarimiHow to use Autoencoders for Classification on the Fashion-MNIST Dataset ?In this story I’ll explain how to creat a Autoencoder and how to use that on Fashion-Mnist dataset as a Classifier.Jul 13
Bhargavi PoyekarBuilding simple Neural Networks (NN, CNN) using Pytorch for MNIST dataset.As I continue on my journey to master artificial intelligence, I’ve completed my next milestone: learning how to build different types of…Apr 15
BenzaimafadiEnhancing Digit Recognition: Exploring SVM and HOG Features with MNISTEver since the MNIST dataset was introduced by Yann LeCun and Corinna Cortes, digit recognition has been an area of extensive study and…Jul 12
Alireza KeshavarzImage Denoising Using Autoencoders (Improved version)An autoencoder is a type of neural network that learns to compress and reconstruct input data. It consists of an encoder that compresses…Jun 24, 20231
Sten RaakThe Size Factor: Evaluating Student Model Dimensions in MNIST Knowledge DistillationIntroductionMay 30
Kelvin Teo Wei MinLong Short Term Memory (LSTM) neural networks as an alternative to convolutional neural networks…Convolutional neural networks (CNN) have achieved widespread use in computer vision processing, though the seminal publication of…Dec 26, 2023
Özgür SANLIinPython in Plain EnglishBuilding a Handwritten Digit Recognizer Using Deep LearningIn this post, I will introduce you to the “Hello World” of TensorFlow by using the MNIST dataset. Without getting into too much detail, we…Apr 29
Bjørn-Jostein SingstadHow to train a CNN using tf.GradientTapeA simple practical example of how to use TensorFlow's GradientTape to train a convolutional neural network.Feb 6, 2023