Image-to-image translation with flow-based generative model - yenchenlin/pix2pix-flow
Utilities for deep neural network in chainer. Contribute to tochikuji/chainer-libDNN development by creating an account on GitHub. Tensorflow bindings for the Elixir programming language :muscle: - anshuman23/tensorflex Codes for Layer-wise Optimal Brain Surgeon. Contribute to csyhhu/L-OBS development by creating an account on GitHub. An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework. - thuyngch/Overcoming-Catastrophic-Forgetting random. Contribute to Rpgone/Skynet development by creating an account on GitHub. img_array1 = np.load(‘images_test.npy’) x = img_array1.reshape(-1,28,28,1) p = model.predict(x[index:index+1]) print(np.argmax(p)) plt.imshow(x[index].reshape((28,28))) plt.show()
Store the NumPy arrays in a .npy file using the np.save() method. In the file which trains the model, load these files using np.load() method and 22 Feb 2018 Converting MNIST dataset for Handwritten digit recognition in IDX Format Now, why store in this format when we have other text file formats? This notebook uses MNIST as an example to show how to load image data to Spark TensorFrames and save to TFRecord files. To run this notebook, you may 26 Mar 2019 MNIST handwritten digits dataset is often used for problems such as Please download the file named "mnist-original.mat" from the following 31 Oct 2018 We're going to download the raw data files for the MNIST dataset with the train_vector_features = numpy.load('train_vector_features.npy').
Keras implementation of Balancing GAN (Bagan) applied to the Mnist example. - IBM/Bagan Trades (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization) - yaodongyu/Trades Updated to the Keras 2.0 API. GitHub Gist: instantly share code, notes, and snippets. Let's suppose that the data is stored in x_tr.npy, y_tr.npy, x_te.npy and y_te.npy files. We will assume that x_tr.npy and x_te.npy have shapes of the form (?, 8, 8, 1). We can then define the class corresponding to this dataset in bgan_util… Contribute to daib13/TwoStageVAE development by creating an account on GitHub. #!/usr/bin/env sh Caffe_ROOT=/path/to/caffe mkdir dogvscat DOG_VS_CAT_Folder=/path/to/dogvscat cd $DOG_VS_CAT_Folder ## Download datasets (requires first a login) #https://www.kaggle.com/c/dogs-vs-cats/download/train.zip #https://www.kaggle…
Tensorflow bindings for the Elixir programming language :muscle: - anshuman23/tensorflex Codes for Layer-wise Optimal Brain Surgeon. Contribute to csyhhu/L-OBS development by creating an account on GitHub. An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework. - thuyngch/Overcoming-Catastrophic-Forgetting random. Contribute to Rpgone/Skynet development by creating an account on GitHub. img_array1 = np.load(‘images_test.npy’) x = img_array1.reshape(-1,28,28,1) p = model.predict(x[index:index+1]) print(np.argmax(p)) plt.imshow(x[index].reshape((28,28))) plt.show() We show an example of image classification on the Mnist dataset, which is a famous benchmark image dataset for hand-written digits classification. from __future__ import absolute_import, division, print_function !pip install tensorflow==2.0.0-alpha0 import tensorflow as tf from matplotlib import pyplot as plt import numpy as np file = tf.keras.utils.get_file( "grace_hopper.jpg…
test.txt - Free download as Text File (.txt), PDF File (.pdf) or read online for free.
