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Search results for numpy mnist

38 search results found

Data Science Ipython Notebooks ⭐ 25,668

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Keract ⭐ 1,030

Layers Outputs and Gradients in Keras. Made easy.

Workshopscipy ⭐ 396

A workshop for scientific computing in Python. ( December 2017 )

Numpy_neural_network ⭐ 307

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新 ...

Regularized_autoencoders Rae ⭐ 104

Assignment2 2017 ⭐ 59

(Spring 2017) Assignment 2: GPU Executor

Deep Residual Networks Pyfunt ⭐ 45

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).

Numpy Neuralnet Exercise ⭐ 42

Implementation of key concepts of neuralnetwork via numpy

Mnist For Numpy ⭐ 39

A simple, easy to use MNIST loader written in Python 3

A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python

Tensorflow Mnist Tutorial ⭐ 37

MNIST classification in Tensorflow using Django

Nn By Numpy ⭐ 32

Numpy Rnn ⭐ 29

numpy implementation of Recurrent Neural Network

My_notebooks ⭐ 24

Collection of my own notebooks

Dnn_from_scratch ⭐ 18

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Python Tensorflow Webapp ⭐ 16

Emerging Technologies Project - 4th Year 2017

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Deeplearningopenlecture ⭐ 12

Cnn Numpy ⭐ 10

Experiments with implementing a CNN in numpy.

Mnist Sequence ⭐ 10

A tool to generate image dataset for sequences of handwritten digits using MNIST database

SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架

Mnist Neural Network ⭐ 9

Simple Python neural network for handwritten digits classification in pure Numpy

Digit Recognition ⭐ 8

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

Rotated MNIST dataset

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets

Mnist Digit Reader ⭐ 8

A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9

Mnist Dataset ⭐ 8

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.

Openvino Model Division And Simple Custom Layer ⭐ 8

Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Tensorflow Pca ⭐ 7

An implementation of principle component analysis using TensorFlow's singular value decomposition

Numpy_cnn ⭐ 7

Implement Neural Network only with Numpy

Deep Learning Using PyTorch

Mnist Data Numpy Format ⭐ 6

Rnn_for_handwriting_recognition ⭐ 5

Pure numpy RNN recognition for MNIST datasets

Ctc Ocr Tensorflow ⭐ 5

continuously mnist with rnn ctc

Digit Classification Using Numpy ⭐ 5

MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy

Large-scale Data Analysis supplementary material.

Rbm Smple ⭐ 5

Simple working implementation of Restricted Boltzmann Machines learning algorithm in Python using numpy. Works on MNIST dataset.

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