Convolutional neural networks with Python 3
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Updated
Nov 14, 2016 - Python
Convolutional neural networks with Python 3
LeNet example
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
This is a Neural Network class I created in Python along with some test data.
Some tests with the Kaggle Digit Recognition challenge
This project demonstrates Handwritten digit recognition using Deep Learning.
Recognizing hand written number using mnist datasets and tensorflow
Toy example implementing GAN using MNIST dataset, on theano and Lasagne tooloboxes
🕹️ Small programs using TensorFlow and Keras as the main libraries to develop simple Neural Networks tasks
Testing different methods to get a higher score in kaggle mnist challenge.
A simple python implementation of a Neural Network from scratch
Addressing the MNIST Dataset(Hand writing digit recognition) problem using Random Forest Classifier
A classifier to accurately classify the images of handwritten digits using Convolutional Neural Networks.
MNIST- Machine Learning with tensorflow
Source_Data :https://www.kaggle.com/c/digit-recognizer/data
End to End learning for Video Generation from Text
Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs
Implementation of CNNs for handwritten digit recognition
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