Mnist
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A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.
An Android example project demonstrating TensorFlow integration for handwritten digit recognition using the MNIST dataset.
A Go implementation of neural networks including BackPropagation, RBF, and Perceptron networks with parallel processing capabilities.
A proof-of-concept neural network library in Rust with implementations for MNIST digit recognition and char-rnn LSTM models.
A deep belief net and deep learning implementation written in F# with GPU acceleration via Alea.cuBase.
A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.
A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.
A TensorFlow/TensorLayer implementation of Spatial Transformer Networks for learning image transformations like scaling, cropping, and rotation.
A V programming language module for creating and training multi-layer neural networks with backpropagation.
A tutorial on building and training a convolutional neural network for MNIST image classification using Flax Linen and Optax.
A complete neural network solution for handwritten digit recognition, built with Ruby and featuring a web interface.
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