Manishanker Blog

Image search using Tensorflow and Imagenet In this post, I would like to share my experience in using Tensorflow, Imagenet. Using Inception model, we can classify images and use these tags to search similar images.  I would share my code and implementation and results. To be continued..

Google Cloud API In this post, I would like to share my experiences on using Google cloud. I have created a account under Google cloud program. Using this, I will develop python code to convert a audio clip from Indian languages to text. Later, I will use Google translate API to convert the text to english. This post will be updated once I have written code samples. I will share my code and the implementation and demo. To be continued...

Problem statement : You are supposed to build a model which automatically classifies an article under Finance, Law, Fashion and Lifestyle. Use the data from leading magazines for training the model. Solution :   Github Repo :  link In past, I had used NLTK and python to solve the above problem, but neural networks have proven to be more accurate when it comes to NLP. I had researched on text classification libraries and different approaches to solve this problem and decided to use CNN. I have used Denny Britz code for implementing the CNN( convolutional neural network ). Here is the  link for his blog post. I would describe the files and the procedure I followed to get the data, train the model, test the model and the results. First, I went to the leading newspaper TheGuardian and looked for the labels i.e Finance, Law, Fashion, Lifestyle. Scraping the data from the same source would be help in keeping the homogeneity in the articles. I have used Goose and Bea

What have I been upto ? Once I left Magarpatta(June 20, 2014), Pune, I was excited to know that I was capable of doing great work in technology. I worked on four projects at the same time, used to work with multiple managers at the same time. I learned that I can contribute to Opensource ( Openstack ). By contributing to opensource, you gain wealth of knowledge. I think if you put in one hour of your time to contribute to FOSS, you gain 10 x knowledge and exposure. As a fresh graduate from Bits Pilani Goa, it was a tremendous learning. I was talking directly to several developers, architects, industry experts, read about what companies work and their business. At that point, I got a whole new perspective of how things work in the industry, how opensource is powering the world. Coming to present, un-employed :P :P as of June 10, 2016. For the past 2 years, I was working as Research and Development engineer at IPsoft Labs, Bangalore. Working there, I had got exposure to lot of n

My blog post has been featured in Openstack super user, Mirantis tutorials, Opensource.com My first attempt at blogging and it has been featured in Openstack Superuser, Mirantis tutorials and Opensource.com. It gives me a great motivation to learn more and more about openstack and blog about the latest innovations happening around Openstack.  Openstack Super user : http://superuser.openstack.org/articles/how-to-contribute-to-openstack Mirantis Tutorials(14th in Additional) : http://www.mirantis.com/openstack-portal/external-tutorials/tutorials-week-may-19-2014-may-26-2014/ Opensource.com(How to contribute to Openstack) : http://opensource.com/business/14/7/openstack-news-july-21 In future, I would like to learn more and more about Openstack and I would simultaneously update my blog. Stay tuned ;)

Contribution to Openstack Stackalytics: Stackalytics is one stop for looking at some one's contribution to Openstack. It has great user interface where we can find the modules user has contributed to, timeline of his contributions. Here is my Stackalytics page link . I have mainly contributed for Openstack-manuals, documentation for Openstack projects about installation, user guides, admin guides and Openstack-API which hosts the documentation related to the API of several Openstack components.