Deep Learning with Python, TensorFlow, and Keras tutorial

An updated deep learning introduction using Python, TensorFlow, and Keras.

[sentdex]

After re-watching, I notice I never explained "epoch." Epoch is just a "full pass" through your entire training dataset. So if you just train on 1 epoch, then the neural network saw each unique sample once. 3 epochs means it passed over your data set 3 times.

[wolverine]

This guy is really authentic and legit. Doesn't beat around the bush, no cringy intro music, just straight to the point. Best Intro of Deep Learning I have watched so far!

[omkarjagtap]

Installs keras, predicts mnist data, feels like GOD

[MrDots]

"ok first we need to install tensorflow "
5 hours later i returned to the video haha

[behshadmohebali]

This is exactly what I needed as the first clip on TensorFlow and deep learning. Consider this comment as a warm "thank you" and a remote (but firm) hand shake!

[anishkelkar]

This tutorial gave a hands on approach to machine learning unlike most of the other tutorials. Thank you very much.

[prateeknayak]

Just a brilliant beginning. Finally the YouTube notification led to something amazing

[abhijeetsharma]

In later versions of tensorflow, you need to specify input shape of flatten layer if you are reusing the saved model.
model.add(tf.keras.layers.Flatten(input_shape=(28, 28)))
instead of

[juhotuho]

now this is the reason i subbed, have been learning python for the last month and can't wait to get deeper into deep learning

[cyrusparvereshi]

Hey Harrison, I just wanted to thank you for making these amazing tutorials! I finished your beginner tutorial, and while it went pretty deep into some things, I have a great toolkit that I can use to explore web development, data analysis, and cyber security! I love programming and your videos are some of the most helpful resources that I have been privileged to discover. I promise I will take this knowledge and apply it to something that will change the world! :D

[JustCallMeRob]

I am so happy you are doing an update on this topic right after i finished your main machine learning playlist. Your videos have been very helpful, thank you so much for your work !

[AnnnEXE]

I learned more from this video than I did in an entire deep learning course I took last academic quarter. Huge thanks, my dude :^) this is going to help a ton for my thesis work!

[ethanraymosqueda]

Thank you much Sentdex. I'm doing my thesis and I needed to learn how tensorflow works. Awesome tutorials here

[souravgames]

thank you for revisiting the basics . i just hope its a long comprehensive series

[abdulqayyumahmadzai]

I have been following your videos from almost 18 months and its been amazing your tutorials have helped me alot. Thank you for these tutorials.

[Shaurya_Pant]

This video is awesome! period. I've literally seen so many seminars and videos on YouTube... This is the first one that gave me all the comprehensive details, along while making the entire program... on the side ... Thanks.
It really helped.

[Rushirajloke]

Finally what I have been waiting for..

[rishisharma]

I had searched so much for this type of video!!!
Finally got it thanks you very much for this and eagerly waiting for next videos too 😊

[abdulwahab]

I have listened the entire lecture while driving

The way coding part was done by reading it loud while typing was superb !
I had the whole picture even without looking at the screen.
Bundle of thanks

[MrCreeperk]

Thank you so much for this, I have started learning and done the “hello worlds” of keras and am really trying to get to some advanced stuff and hopefully eventually reinforcement learning