Machine Learning Zero to Hero (Google I/O'19)

This is a talk for people who know code, but who don’t necessarily know machine learning. Learn the ‘new’ paradigm of machine learning, and how models are an alternative implementation for some logic scenarios, as opposed to writing if/then rules and other code. This session will guide you through understanding many of the new concepts in machine learning that you might not be familiar with including eager mode, training loops, optimizers, and loss functions.

Speaker(s): Laurence Moroney and Karmel Allison

T700B4 event: Google I/O 2019; re_ty: Publish; product: Cloud - AI and Machine Learning - AI building blocks; fullname: Karmel Allison, Laurence Moroney;

[gopalpanwar]

I have been studying Deep Learning for the last 3 weeks or so and this guy explained it like in 20 minutes, I wish I had a teacher like him :(

[raaghavsharma]

And that’s what an explanation is called.
Wow the way he explained I grasped each and every word of his.
Thanks though

[asifansari]

The best explanation of convolution in few minutes.
🙏

[BalajiChopparapu]

This is one of the best video on machine learning

[MAXNELSONLOPEZ]

There should be a button of "Mega Like" for this video. Great explanation of an epic tool. Thanks a lot!

[priyaranjanmohanty]

Wow, Thanks Laurence Moroney for making 'Convolutional layer' no more convoluted for me ….also you have made the concept of 'Pooling' so clear .

[dinoscheidt]

I just love Laurence Moroneys presentation style. Outstanding ability to read his audience and adjust on the fly in tonality & emphasis. Awesome skill & great presentation

[pikiwiki]

It takes a lot of hard thinking to make a topic like this appear this simple.

[BiancaAguglia]

I can't even tell you how much more I enjoy using TensorFlow 2.0 than I did using the previous versions. Thank you for all the great improvements. A special thank you for TensorBoard. A very useful and fun tool.

[blancAblanc]

This guy is highly skilled in explaining his topic - its just amazing.
Thank you for that.

[krebul]

Wow I've been reading about this stuff a lot but always had difficulty wrapping my head around it. I did the tensorflow demos, but was unable to understand it well enough to try something on my own. He explained it very clearly and cleaned up a lot of my misunderstanding. Thank you so much for sharing!!!

[lucianoinso]

I'm at the end of the first part of the talk and I'm speechless, it's like all the theory I've read and have been taught in class finally falls into place, I never understood how neural networks really "captured" the features, thought it was thanks to pure randomness and just some coincidence, and that the only thing that did the actual work was just minimizing the loss function and that was it, the other things were just experimenting, but after the best explanation on convolutions and pooling I've ever came into contact with now I begin to really understand why this works, so much insights, thank you so much, the first part of the talk was pure gold, the second part was good too, the amount of stuff Keras has implemented and the capabilities to expand it is pretty awesome.

[EddieSaleh]

This is an amazing smooth intro to a relatively complicated topic. The QR codes are a smart move. Hoping to see more videos on similar topics. Thank you both.

[mmayan]

Finally, I got this shit. I have been watching various speeches and talks for the past two years and every time I thought I got it, I didn't. Of course, until I stumbled upon this video. Now I know the concept enough that I can explain it to both technical and none technical people. Thanks for the wonderful video.

[HeySushil]

I just came here because I today saw the Colaboratorya and then started watching the video. Know it's really helpful for me to understand how easy is TensorFlow and I'm on the right path to learn the all. Thanks to YouTube and I/O.

[angrykarrot]

I have zero experience in Machine Learning, but with this explanation, I feel like I can make a rock paper scissors game with just a little more knowledge.

[Venus]

I did the Introduction to Tensorflow course a couple of months ago on Coursera. I got all that revised in 35 mins. Thanks for this great video.

[barrycheng]

Laurence's explanations were wonderful! Thorough, but also simple enough that even a newbie can understand it. Thank you!

[danieljdick]

I have to say I wish I had gone through this video years ago. It's easier to play with blocks and learn what they look like before trying to learn the milling machinery to make your own blocks without. a clue of what a block looks like or why it looks that way.

[angelostarrUK]

Not everyone who knows something is good at explaining it... this lecturer is fantastic!