Deep Learning is a subset of machine learning that encompasses neural networks that can learn from raw or unstructured data, much like humans. It's used for speech recognition, machine translation, computer vision and natural language processing. Deep Learning is at the centre of exciting innovation possibilities like Self Driven Cars, Image recognition, virtual assistants, speech recognition, machine translation, computer vision and natural language processing. Deep learning models are transforming businesses by providing learning techniques and real-world solutions based on large data sets. It is good to have skills for today's machine learning job market.

Infer.NET is a machine learning framework for running Bayesian inference in graphical models. It provides state-of-the-art message-passing algorithms and statistical routines needed to perform inference for a wide variety of applications. There are various intuitive features in this framework such as rich modelling language, multiple inference algorithms, designed for large scale inference as well as user-extendable. With the help of this framework, various Bayesian models such as Bayes Point Machine classifiers, TrueSkill matchmaking, hidden Markov models, and Bayesian networks can be implemented with ease.

The key to getting better at deep learning (or most fields in life) is practice. Each of these problem has it's own unique nuance and approach. But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your newly acquired skills.

Goal of the meetup is to dive into the Deep learning space. To start off with we will be going through the lectures of a Deep learning course on Udacity and working on the assignments (of course, we will maintain the "honor of code"). Once we are done with that we will take off with reading popular deep learning papers and implementing them. Currently this meetup is mostly for people who have some knowledge of machine learning but not deep learning. If you are an expert in deep learning then you are most welcome to join but we may not have much to offer, unless you want to brush up your DL skills or are interested in guiding DL enthusiasts.