TensorFlow in 5 Minutes (tutorial)
This video is all about building a handwritten digit image classifier in Python in under 40 lines of code (not including spaces and comments). We'll use the popular library TensorFlow to do this.
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The source code for this video is here:
Here are some great links on TensorFlow:
Tensorflow setup:
A similar written tutorial by Google:
Tensorflow Course:
Awesome intro to Tensorflow:
Some other great introductory examples using Tensorflow:
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Just installed Tensorflow binary, and I saw this video in my sub box. Thanks for continuing to make awesome videos!
woot! thank you for watching!
your slinkies are not properly glued to your head
damnit! I tried, i guess i need to use something stickier. Maybe duct tape?
was going to say the same
That’s make all your charm ! Thanks for the quick explaination of Tensorflow. 🙂
rofl
Hey Siraj, awesome video, I really like the fact that you keep them ~5 minutes long!
thanks Hichame!
I didn’t think that a meaningful intro to Tensorflow and really building a neural net could be done. Great job. I am a convert (not a follower) to your training style. Now I will watch all of your 5 minute tutorials. Thanks dude u freaking rule.
Thanks Stat!!
Sorry, I blinked and missed it. Gotta replay now.
It’s a trick to get more views !
It’s a trick to not waste hours of my time, he has vids that describe each step in magnificent detail
0.5x speed my old friend
@captainheretic you dont get extra views if you replay a video :/
Those who are trying to recreate/use this program with TF 1.0 have following changes to do:
–> import input_data
<> from tensorflow.examples.tutorials.mnist import input_data
–> tf.histogram_summary(“weights”, W)
<> tf.summary.histogram(name, value, collections = none)
–> tf.scalar_summary(“cost_function”, cost_function)
<> tf.summary.scalar(name, tensor, collection = none)
–> tf.initialize_all_variables()
<> tf.global_variables_initializer()
–> tf.merge_all_summaries()
<> tf.summary.merge_all()
–> tf.train.SummaryWriter(‘LOCATION”, graph_def = sess.graph_def)
<> tf.summary.FileWriter(‘LOCATION’, sess.graph)
Tensorflow changes so much! Always refer to the Documentation!😁
I am impressed with what you are doing to popularize Maschine Learning. And it is hell important. All the companies (including us) are starving for ML engineers. Go on!!!
Dude, You teach like you really mean it. I like teachers with that much enthusiasm.
Keep making tutorials like this one
Moral of the video: TF in 5 minutes is a bad idea
He told us the barest bones of the barest bones
lol….ikr
lol
lol
lol
@Siraj Raval, your explanations are spot on, concise and to the point, with just enough funny clips to make your videos engaging. Love your breakdown of actual code.
Hi Siraj, I’m talking from Brazil. Your teaching is AWESOME and is extremelly fun learn with you. Congratulations!!!
If you read the tensorflow low level api tutorial page and then re watching this video is so much rewarding.
Yes I agree. I think its better to learn the low lever API first to get a better understanding of how Tensorflow Works. That’s what I’m doing on my YouTube channel. Check it out 😊
That was freakin’ insane! You covered so much machine learning ground in under 6 minutes. Fun times!
Agreed, it’s not a basic lesson but surprisingly concise and accurate. Makes me wish I remember more linear algebra, but apparently you don’t even need to do that now that there’s tools like this haha
This video is very useful in that it starts from the virtual environment management and all the way to the description of full models in TensorFlow! Thanks for a great video.
I love the concept of limiting intro tutorials to 5 minutes. I think that I got a better overview of the topic in this video than I would with a 1 hour talk at a conference.
Just the mere fact that you showed so many things (install process, data sets, code and graphs) in such a short time made me grasp the concept “as a whole”
Not to mention memes.. memes what makes Raj, RAJ!
HAHAHAHA
Finally make it work in less than 40 min, thanks for a great video of introduction to Tensorflow
Came for Tensorflow, stayed for that wicked wild hair.
The hair doesn’t move by itself enough for me to call it wild or wicked. But it does look cooler than average.
You know he bounced out of bed at 3am to create that video because his hair looked so awesome – ha. He’s one of my top 3 guys in this arena who can easily condense these concepts into digestible, 5min segments. Well done ~
I feel like I”m having a separate conversation with your hair.
I love it!
🙂
I was dumb for thinking I would be any better at tensor flow after 5 minutes
weird seeing you here
weird seeing u seeing others here
@@amuzak9063 he’s everywhere
why are you here lol
Ever heard of edureka! …😂
Just enough info to let me decide whether TensorFlow is the tool I need for the question I’m facing – thanks.