By the virtue of its ability to approximate any function(, ), Neural Network~(NN) based architectures have achieved massive success in learning complex input-output mappings from data. However, a mere knowledge of the input-output mapping falls short on a lot of situations especially that need to integrate beliefs in the model and where data is limited. … Continue reading The very Basics of Bayesian Neural Networks
Hi there!! This post is supplementary to the presentation hosted here and all the codes can be found here. TensorFlow (TF) is an open-source numerical computation python library maintained by Google Inc. It has enabled long-standing powerful deep learning techniques accessible for both production and research. Owing to its strong community backing and flexible design it … Continue reading Interfacing Tensorflow to Noobs
Hi everyone, as a result of my desperate attempts to kick-off my life as some Artificial Intelligence (AI) researcher I present to you my most recent findings and endeavors on the lines of creating better AI. All views are mine and subjective. And please let me know if there is any room for improvement in … Continue reading Installing Experience into Artificially Intelligent Agents
It is said that a picture is worth a thousand words. But the question is can we make the image enough appealing to its beholder to grasp and digest those 1000 words. Image rendering to generate artificial yet realistic looking images is the field where ways are being devised to do so.
Hii everyone here. Today, I am going to write about the research project that I did at LATECE, UQAM during the summer of 2015. It was one of the most important experiences I have obtained so far in my life. Here I discuss why such a research is required to be done and its importance. … Continue reading Detection of antipatterns in Mobile Architectures and resolving them