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Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs I’ve been working on a few personal deep learning projects with Keras and TensorFlow. However, training models for deep learning with cloud services such as Amazon EC2 and Google Compute Engine isn’t free, and as someone who is currently unemployed, I have to keep an eye on extraneous spending and be as cost-efficient as

Benchmarking CNTK on Keras: is it Better at Deep Learning than TensorFlow? June 12, 2017 - Keras is a high-level open-source framework for deep learning, maintained by François Chollet, that abstracts the massive amounts of configuration and matrix algebra needed to build production-quality deep learning models. The Keras API abstracts a lower-level deep learning framework like Theano or Google’s

Advantages of Using R Notebooks For Data Analysis Instead of Jupyter Notebooks Jupyter Notebooks, formerly known as IPython Notebooks, are ubiquitous in modern data analysis. The Notebook format allows statistical code and its output to be viewed on any computer in a logical and reproducible manner, avoiding both the confusion caused by unclear code and the inevitable “it only works on my system”

I’ve been working in the San Francisco Bay Area for about 5 years, but I’ve never publicly said where I’ve worked. Well, I was a Software QA Engineer at Apple Inc., on the Applications team. As of last week, I handed in my resignation. While I am thankful for the opportunities I have had at Apple, it is time for me to pursue working in other areas I am passionate about and search for other compani

Stack Overflow, the favorite destination for software developers when something breaks for no apparent reason, recently released their 2016 Stack Overflow Survey Results with responses to the questions of “where they work, what they build, and who they are.” You can download the released dataset containing all 56,030 cleaned responses here. One variable present in the dataset but surprisingly unad