About the talk
At I/O 2018, Google released the Firebase ML Kit which creates various exciting opportunities for Android Developers aiming to build smart apps without having to worry about the nitty-gritty of Machine Learning.
The Firebase ML Kit APIs offer features like face detection, text recognition, object detection, etc.
Your apps can also label a provided image for special characteristics and identify popular landmarks in a picture.
In this talk, you will learn how to use all the APIs available in Firebase ML Kit by using a sample app that utilizes these APIs. Walk through the working of each API and implement them in your own apps.
OK then. 00:00 Let me introduce the video with quite interesting speech about fairways machine learning development kit. 00:00 Please thank you. 00:09 Hello yeah, hi Good afternoon, 00:14 Moscow I hope you're having a great time. 00:16 Anyone flea feeling sleepy. 00:19 Anyone feeling sleepy yet alright, 00:19 hopefully after this talk. 00:23 You won't be feeling sleepy and you'll be feeling excited about 5 days in machine learning. 00:23 So my talk is going to be on fire base in machine learning. 00:30
So it's focused on mobile development right both Android and iOS so? 00:33 Yeah. 00:37 Early so about me, 00:37 I'm an Android developer right and I love to make beautiful apps who doesn't read and recently. 00:40 I ventured into machine learning. 00:45 So the 5 basin machine learning is a very beautiful niece that are found recently I'll be talking about it. 00:47 So machine learning is a mobile developer so first of all a quick show of hands. 00:53
How many People can understand what this is? 00:58 You can. 01:02 Just kidding. 01:02 I cannot right so this is my face after reading this thing, 01:02 so I mean, it's sort of Elvish I cannot read it? 01:06 So, but again, I want to get up to speed on latest happening in technology right because machine learning is the future right. 01:09 Everyone keeps on saying it machine learning is the next best thing that's going to happen. 01:16 So how can I get up to speed on machine learning? 01:21
Why do not? 01:23 We have something for you, 01:23 that is 5. 01:25 XML kit right so sort of Batman reference The Dark Knight that we need. 01:25 5S what I'm sure that you might have heard of this, 01:30 but it was announced at Google. 01:33 IO this time around right and it's sort of very nice Java Kotlin and Swift. 01:35 APIs that you can use to perform machine learning in your Android app or I usr. 01:39
It contains few prebuilt APIs so it has certain prebuilt methods or functions that you can call and you can get some meaningful results. 01:44 And if you are someone who has worked with tensor flow. 01:52 You can load a custom. 01:55 Tesla model onto my base and get custom results out of it, 01:56 so will be touching all these things in this talk. 01:59
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