We talked about auto-encoder here and here with R (https://charleshsliao.wordpress.com/2017/04/14/identify-arguments-of-h2o-deep-learning-model-with-tuned-auto-encoder-in-r-with-mnist/). We also talked about the three functions of auto encoder above. This is a pretty standard example used for benchmarking anomaly detection models. We use Python3 and H2O framework to build auto-encoder. More details can be found in Sebastian Raschka's book: https://www.goodreads.com/book/show/25545994-python-machine-learning?ac=1&from_search=true

# Category: Deep Learning

## RNN, LSTM in TensorFlow for NLP in Python

## CNN KeRas (TensorFlow) Example with Cifar10 & Quick CNN in Theano

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

## 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