Denoise with Auto Encoder of H2O in Python for MNIST

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

Identify Arguments of H2O Deep Learning Model with Tuned Auto Encoder in R with MNIST

Auto-encode can be trained to learn the deep or hidden features of data. These hidden features may be used on their own, such as to better understand the structure of data, or for other applications. Two common applications of auto-encoders and unsupervised learning are to identify anomalous data (for example, outlier detection, financial fraud) and… Continue reading Identify Arguments of H2O Deep Learning Model with Tuned Auto Encoder in R with MNIST

Map/Reduce in Python with Quick Function Examples

We have map and reduce functions in Python. They both take two inputs, a function and a list/tuple. Map can apply the function on multiple elements within the list/tuple. Reduce can apply the function with the first two elements, get the result, and apply the function with the result and the 3rd element. To convert… Continue reading Map/Reduce in Python with Quick Function Examples

Notes for List, Tuple, Set and Dict in Python with Functions

Syntax set: ([]), dict: {}, list:[],  tuple:() Only List is mutable. To insert python code into wordpress with original Tab Space, we have to go to HTML version to edit the code The following is a quick example of higher order function(or compound function) The following is a quick example of list with format checking(or… Continue reading Notes for List, Tuple, Set and Dict in Python with Functions