We will use cifar10 dataset from Toronto Uni for another Keras example. We used this dataset for another CNN model with more detailed process here. You can find more details on Valentino Zocca, Gianmario Spacagna, Daniel Slater’s book Python Deep Learning. We have a significantly improved result with this new model(0.7314) in this article, compared… Continue reading CNN KeRas (TensorFlow) Example with Cifar10 & Quick CNN in Theano

# Tag: TensorFlow

## DNN and CNN of Keras with MNIST Data in Python

We talked about some examples of CNN application with KeRas for Image Recognition and Quick Example of CNN with KeRas with Iris Data. Actually, TensorFlow itself in Python is mature enough to conduct deep learning activities and KeRas is even faster and more simple to train with than TensorFlow only in deep learning activities. You… Continue reading DNN and CNN of Keras with MNIST Data in Python

## CNN Model of Image Detection in Keras (TensorFlow) in Python3

This article covers the basic application of Keras and CNN in Python3, with Sublime text3 and Ipython Notebook as IDE. More details of the following code can be found in Robert Layton's book here: https://www.goodreads.com/book/show/26019855-learning-data-mining-with-python?from_search=true

## Keras in Python, Backend TensorFlow, with Iris data to Build Deep Learning Model

We talked about Deep Learning Modeling in TensorFlow in Python&R: https://charleshsliao.wordpress.com/2017/06/06/rnn-in-tensorflow-in-pythonr-with-mnist/ We also mentioned Keras application in R: https://charleshsliao.wordpress.com/2017/04/24/cnndnn-of-keras-in-r-backend-tensorflow-for-mnist/ This article covers the basic application of Keras and TensorFlow in Python3, with Sublime text3 and Ipython Notebook as IDE. More details of the following code can be found in Robert Layton's book here: https://www.goodreads.com/book/show/26019855-learning-data-mining-with-python?from_search=true After… Continue reading Keras in Python, Backend TensorFlow, with Iris data to Build Deep Learning Model

## RNN in TensorFlow in Python&R, with MNIST

Though it is more convenient to conduct TensorFlow framework in python, we also talked about how to apply Tensorflow in R here:https://charleshsliao.wordpress.com/tag/tensorflow/ We will talk about how to apply Recurrent neural network in TensorFlow on both of python and R. RNN might not be the best algorithm to deal with MNIST but this can be… Continue reading RNN in TensorFlow in Python&R, with MNIST

## A CNN Model with TensorFlow in R with API

We built the simple model in last article, we will build a more sophisticated model with TensorFlow. This article is more like practicing and the code comes from: https://rstudio.github.io/tensorflow/index.html The result is not optimal and we can add more iterations to improve the final accuracy.

## A Quick TensorFLow Example with R API

This is an example for MNIST Neural Network model(DNN) with TensorFlow in R with API. Most of the code comes from https://rstudio.github.io/tensorflow/index.html

## CNN/DNN of KeRas in R, Backend Tensorflow, for MNIST

Keras is a library of tensorflow, and they are both developed under python. We can approach to both of the libraries in R after we install the according packages. Of course, we need to install tensorflow and keras at first with terminal (I am using a MAC), and they can function best with python 2.7.… Continue reading CNN/DNN of KeRas in R, Backend Tensorflow, for MNIST

## Apply TensorFlow in Sublime Text 3 in OSX

To apply tensorflow in sublime text 3 might have some issues due to comptability among python 2.7, built system in sublime text 3, and tensorflow itself. Follow the following steps we can still make it happen: 1. Install Python 2.7, not the default one of MAC. We need to install another 2.7 under the path… Continue reading Apply TensorFlow in Sublime Text 3 in OSX

## Install Tensorflow Issues for OSX Python3

Tensorflow is an open-source software library for Machine Intelligence. find more about the install steps on https://www.tensorflow.org/install/install_mac I strongly recommend to install tensorflow with pip3 or pip since if anything goes wrong it will be easier to trace with terminal. You can just following the instruction "install through native pip", I want to mention that… Continue reading Install Tensorflow Issues for OSX Python3