Cloud messaging or push notification is one of those “topics” that gets left out. Primarily because we are too busy beautifying the app, or working on a new feature, or we think it isn’t a big deal. Push notifications are as big a deal as any. Whether you want to re-engage your users, or deliver personalised content, or display targeted advertisements, push notification is the way to go. Continue reading
The idea of having a bot, who listens, understands and responds to your commands, is very intriguing. How about creating one yourself? It might sound daunting at first but it’s not that difficult in reality.
In this post we will create a bot for Google Assistant which powers
Google Now and probably some other google products. To keep this post really short and easy to follow, I will not plug the NLP piece in our bot, which you might have to in case you decide to build a really intelligent bot. Our bot will do a simple thing, when asked for a movie suggestion, it will suggest a movie. Continue reading
In one of the recent projects I had a requirement to do integration with Microsoft Office365 Calendar Api and for that I needed to implement Microsoft login in a react.js app. I tried to search for a readily available
npm package which I could consume easily and which fits nicely in the react ecosystem, but unfortunately I couldn’t find any so I decided to write my own.
With announcement of cloud functions beta at Google cloud next 2017 event, Google has added one of the highly requested features in the firebase suite. This is one major step from Google in making firebase serverless. In this post, we will see some of the capabilities, pros and cons, setup and deployment of firebase cloud functions. Google IO is just days away and knowing about firebase is surely going to help in understanding the upcoming firebase features. Continue reading
I recently stumbled upon an interesting piece of information when I was working on deep neural networks. I started thinking about initialization of network weights and the theory behind it. Does the image to the left make sense now? The guy in that picture is lifting “weights” and we are talking about network “weights”. Anyway, when we implement convolutional neural networks, we tend to utilize all the knowledge and research available out there. A good number of things in deep learning are based on heuristics! It’s worth exploring why we do things in a certain way whenever it’s possible. This goes a long way in unlocking the hidden mysteries of deep learning and why it’s so unbelievably accurate. Let’s go ahead and understand how network weights are initialized, shall we? Continue reading