Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 1/2

[@mrdbourke]

Friends, here are some helpful links: • 🤓Sign up for the full course (40+ hours of TensorFlow) - dbourke.link/ZTMTFcourse • 💻Get all of the code/materials on GitHub - www.github.com/mrdbourke/tensorflow-deep-learning/ • 📖Read the course materials in beautiful book form - www.learntensorflow.io • ❓Ask a question - github.com/mrdbourke/tensorflow-deep-learning/discussions • 💬Get live captions (if using Google Chrome) - support.google.com/chrome/answer/10538231?hl=en Happy Machine Learning!

[@hrishipaul5424]

You are awesome dude!!:) Love from India

[@josbexerra8115]

Excellent sir...., it would be very kind of you to activate the subtitles of your wonderful course

[@maohejiang6485]

I’m gonna buy the course, thanks

[@alabiobin128]

Can i please get the link to the discord chat?

[@vedantmahida4996]

Hey Daniel, is it good idea to watch this tutorial on tensorFlow before continuing Deep learning portion on ZTM - Data Science and Machine learning course 2022? I think this youtube tutorial does more indepth. So it may help increase the speed of learning in Udemy course

[@TeddyWarMan]

this style of teaching is so effective for people like me who have ADHD, thank you so much you absolute ledgend

[@mrdbourke]

It's how I like to learn too! Thank you for the kind words Rohan, enjoy!

[@paulntalo1425]

I agree 120%. Am baffled. The voice and quality are just legendary

[@lifehope4201]

Rohan bhai.....ADHD....?

[@LaurentLaborde]

you can follow a slow 10h course with ADHD ? ^^

[@wgabrys88]

Hahaha, same, it's good because instead of providing definition, the author goes to Google and tries to explain to us what it means - it's like watching a movie, you don't know what google will display and how the author will explain that to us - dopamine driven course 🎉

[@FarisSkt]

I cant thank you enough for all the efforts you do to teach ML. You can’t find quality content like this anywhere else, for free.

[@mrdbourke]

You're welcome Faris! Enjoy legend!

[@nagamohith3467]

Yes He is a legend

[@mrdbourke]

Get ready to dream in tensors.

[@munasheruvinga5458]

Thank youu soo much Daniel!!!!!!!

[@ArjunKumar123111]

I can only imagine how many hours you've put into it. You're a legend Dan!

[@CodeEmporium]

The mind is a matrix

[@chihpoc]

@@CodeEmporium the mind is a tensor :)

[@ayencoscolfield3312]

Great job

[@dineshpatell]

I was searching ML and NN and found this channel and its continuous 5 hours and I learned a lot of things without getting bored. Its best on KZbin SIR DANIEL . Thank you so much for providing such a worthy of course free of cost.

[@tevindavid1185]

Thanks a lot man, its 2023 and this video is the best you could get anywhere

[@mrdbourke]

Thank you Tevin! Enjoy legend!

[@b.k.7363]

No has ever taught ML/DL better....seriously, this is my 4th attempt at ML and I think I might just get it this time! The teaching structure is absolutely beautiful. I am at 5:20:45 and I WILL comment when I get to the end.

[@mrdbourke]

Thank you! Glad you’re enjoying! Keep learning legend! Can’t wait to hear when you’re done

[@b.k.7363]

@@mrdbourke Wooho! Done with video 1! Heading on to video 2!

[@mrdbourke]

@@b.k.7363 outstanding effort! Keep going!

[@gautam.pamnani]

I am Computer Science student, this semester we were properly introduced to ML as a subject. I was searching for a tf courseware on NN & the moment I saw this video, I was hooked ! It's been 7 hrs now (used my entire weekend), coded along, learnt so much along the way - right from the basic algebra (vectors, scalars, tensors, matrices...) all the way through ML and NN. I'll complete this as well as part 2 before another weekend ! LEARNING HAS BEEN SO MUCH FUN & INTERESTING BECAUSE OF YOU, SIR 'D. BOURKE'. Thanks a lot for such awesome content, your hard work shines throughout the course curriculum. I recommend everyone to justify his hard work by completing the entire tutorial along with Programming.

[@Vasko10100]

The fact that you have ZERO dislikes tells you that this is PURE GOLD. I think that these videos and the whole course should be recommended by the Tensorflow official team for learning TensorFlow. Keep up the good work!

[@mrdbourke]

Thank you so much Vasko! That’s a very big compliment! Plenty more to come :)

[@demonsawakening]

lol, you jinx it

[@THEVIERAOS]

@@demonsawakening Makes me wonder what there was to dislike. Wish KZbin would make you give a reason for the dislike.

[@yasthirdhewnarian6531]

This video is extremely underrated my man. Amazing job! Please keep on making more videos. You are a terrific teacher

[@habeebrahman9790]

Amazing

[@mecharena7168]

hi I am 13 years old boy I but I understand all the concepts you are teaching first I learn python and I decided I want to be a ai programmer and I had coded some "opencv" for computer vision and "pyttsx3" for speech and many more and now this is one of my biggest cource and I like your teaching methods

[@mecharena7168]

[@amanupadhyay8765]

I just had a new project assigned to me - research on DL algorithms for our clients. I have done dozens of courses from EdX and Datacamp to Udemy. Hands-down, this is the most phenomenal course I've seen. This course is even better than the 2 courses I've loved the most since I started learning - Python for everybody by Dr Chuck and Excel skills for Business Specialization on coursera by macquarie. Bravo Daniel! I hope you keep producing endlessly brilliant content like this all your life.

[@victoriawaldorf6336]

Daniel, thank you so much for your course! After completing this tutorial, I easily got a job offer because Im able to describe all deep learning concepts in details!

[@akshayraoch]

For real ?

[@stephentete1211]

@@akshayraoch 😂😂😂😂

[@Asif-jd2km]

Seven months later I find your video from KZbin recommendations so helpful and easier to understand I’m a self thought programmer so I can’t understand what others KZbin video’s saying and confused and drop the topic and didn’t look at them, but your video is so understand and very details, One sub from me:)

[@shivambakshi8230]

Even better then paid courses ! Thank you Daniel for such amazing stuff.

[@ranjeevmishra]

I would just go through your tutorial entirely for your beautiful Australian accent... not to mention that the technical content is nearly unparalleled as well. Thank you for the excellent effort... it's beautiful, flawless, complete and highly recommended!

[@saptarshisanyal4869]

"Thank You" will be such a understatame for this gem. You have just made a brilliant tutorial in TensorFlow which will not only help the beginners to get themselves acquiented but also, enable them to know how to actually work out on a problem by searching and interpretting the results and again tweaking the model. Thank you - million times. Love from India.

[@mrdbourke]

You’re welcome Saptarshi! I really appreciate it legend

[@GaMiNGYT-dc2cf]

Man ...Even a small kid can understand these videos...CRYSTAL CLEAR Explanation and He was upto the point!Awesome video and I never found a video like this one and I doubt if i would find something as good as this in the future

[@niteshkumar0202]

Friends I have been following this video for last 5 days to complete the code with practice simultaneously

[@mrdbourke]

Keep going guys! You’ve got this!

[@drm8164]

Is it all I need to get ready for Tensorflow certification examen ???

[@ВіталійМороз-э6о]

Your teaching style is freaking good. I mean, you don't even forget to write comments so everyone can understand what you do.

[@mrdbourke]

Thank you thank you! I'm not a fan of tutorials that don't explain things enough

[@rajatkmitra]

Daniel, if your were around when I was a student at my university and I happened to have you as a teacher.... well.... This is an amazing set of lectures! YOU my friend are well on your way to creating the next generation of world class scientists!! Keep up the great work!!!

[@mrdbourke]

Thank you Rajat! I really appreciate it!

[@malikhamza9286]

I am paying in thousands to my University and learning nothing but theory. Thanks to Daniel who helped me learn all this stuff for free. Thank you a lot for that.

[@Mark-nm9sm]

Im 5:47:41 hours deep, I have been wanting to say this from early on but I wanted to make sure I am not too fast to talk. You are an excellent teacher, regardless of the topic you are teaching in this video, the way you teach is exactly the way it should be done. You arouse our critical thinking and you get us to make questions. You might not be here in this room with me but i feel more energy from you than from my university teachers in person💯💯💯

[@laurentk2033]

This is the third course that i've watched so far and I have to say this is the best of all, seriously if you are hesitating with another one I swear this course is lit

[@mrdbourke]

Thank you so much Laurent! I appreciate it!

[@xdx74714]

I am aged 50+ and learning tensorflow now as a Process Excellence and LSS Expert! Hope this will help!

[@majduddinalboon6379]

Thank you , man you are the i am 13 and interested in machine learning but whatever course i find is so complicated and explains with maths that i can not understand but you unlike them all you go throughout the thing without alot of complicated maths and explain it pretty well thanks man you are the best

[@mrdbourke]

You’ve got this Majduddin, code along and research more when you need

[@majduddinalboon6379]

@@mrdbourke thanks man you are a role model for me now

[@AakashB-tt8xk]

Best Video for Learning TensorFlow and easy to understand. Daniel, you are teaching is very cool, you are the best tutor.

[@ComputerScienceWithBas]

After going through so many complicated and advanced tutorials (PS :- Didn't understand all the stuff there, this video literally made every concept clear). HATS OFF to such great creators like you sir !. Thank you so very much. Please make more advanced long tutorials so that we can become experts as well. Thank you !

[@Rykker1]

Learning at this fully explained pace really makes the concepts stick, great job man.

[@chrisvagkidis3865]

Amazing tutorial Dan! Step by step and great explanations. The fact that you show how exactly you are searching something when you do not know how to use a specific function helps the audience to become "self-taught". Thank you so much!

[@edwinnderitu7281]

In 2022 this is the best content on Ml in the internet. Thanks a million

[@tariqahassan5692]

For me, this is the most amazing lesson about TensorFlow on KZbin ever .. Many thanks, Daniel..

[@pinehteshapple3666]

NOTE: If you are getting a TypeError at 4:39:49 while fitting the model you will need to add tf.expand_dims() I don't know why but it worked for me. example: model.fit(tf.expand_dims(x, axis=-1), y, epochs=5) Edit: I did some studying the reason this error was there because the training data and evaluation data are not of the same dimensions and/or number similar to when tried to dot product the matrices.

[@ahmadbodayr7203]

Thank you man god bless you

[@pinehteshapple3666]

@@ahmadbodayr7203 I did some studying the reason this error was there because the training data and evaluation data are not of the same dimensions and/or number similar to when tried to dot product the matrices.

[@bushbasher9791]

bcz dense expecting 2d tensor , maybe they updated that

[@akoub5270]

thanks a lot , i really spent a lot of time trying to figure out what was the problem . thanks for sharing

[@amoghrgowda4652]

Thanks man

[@tejpreetsingh870]

Best video I watched on whole internet if you want to start learning Tensorflow or deep learning

[@ajayjoshi45]

Hats off man, great tutorial and great way of teaching, My search for tensorflow turotial ends here until I finish up with 10+4 hours of your tutorials. Thanks a ton and great service to machine learning enthusiasts.

[@muffin2426]

Your teaching style is just out of this world... wish I had a teacher like you.

[@mrdbourke]

Thank you!

[@anantvaid7606]

Hey Daniel!! This is the first video, literally first on deep learning that didn't make me sleep whatsoever... I was hooked to the screen and was able to grasp everything so easily... Kudos to you for your hard work and such a beautiful explanation of concepts... Keep making such awesome videos and we promise we'll leverage this knowledge for the best of data science... All the very best and we love you 💯

[@mrdbourke]

So happy to hear you enjoyed! I really appreciate it! Plenty more to come :)

[@ananya__f]

@@mrdbourke sir please make such a long hourse tutorial for #machine_learning_beginers

[@mkhadka123]

It's like finding exactly what you're looking for and finding GOLD content for that matter. I feel lucky to be alive in an era where knowledge such as this one is given for free. Thanks!

[@hazeezadebayo]

6:44:00 gave some BORAT vibes and i actually smiled. thanks so much for the content. to say your style of teaching is amazing would be an understatement.

[@mrdbourke]

Thank you Azeez! I really appreciate it :)

[@castle_of_jokes]

loved this course so much!! I actually bought it on udemy LOVED IT thanks Daniel and any one who helped in the making of this course !!!!

[@mdhidayat5706]

Wow pure dedication to teach deep learning! Love your videos.

[@mrdbourke]

Thank you Md!

[@sunnymoon5262]

AWhh!! Love your motto "If in doubt ; run the CODE!"

[@KenJee_ds]

YOOOO this is some serious stuff!

[@vincentvanpuyvelde3931]

1:02:24

[@universal4334]

But you never do stuff like this 😅

[@mrdbourke]

Ken Jee in the house! Big dog’s gotta eat!!

[@manojrana009]

True

[@leonardopetribu7207]

*A playlist with 60 videos of 10 min each* Me: meeeh, not today... *A single video with a 10 hours marathon* Also me: LET'S GO FOR IT!!

[@mrdbourke]

If I could have made this one single video, I would’ve

[@leonardopetribu7207]

@@mrdbourke did I hear 15 hours of pytorch?? 😅😅 But seriously, congratulations for the content bro

[@girmaygebremeskel8419]

Thank you brother, the thing I like the most about you is, you don't get tired of writing each and every code repeatedly. Respect!!

[@mrdbourke]

Thank you Girmay!

[@vedmodikauratg1865]

Love the way you keep me engaged throughout the video by sharing our enthusiasm. Amazing Job! You have my subscription

[@matrix9134]

Dude to be honest with you you are the best one who talked about this subject like you're literally the best when you speak you just hit the spot in my brain I really wish you the best in life bro you really inspired me a lot luv ya from Iraq❤️

[@mrdbourke]

Thank you Amir! I appreciate it legend

[@thenewculture2359]

this man was sent from god

[@munasheruvinga5458]

Yessss, for real!!!

[@ayencoscolfield3312]

You are absolutely correct on all grounds , in fact the man is a small god himself

[@patricksfeir6947]

Is he Lucifer ?

[@Tooxcade]

This is amazing course 10hours+, My weekend is complete with amazing course. no tv, switch off my mobile, plenty of Redbull. woow. THANK YOU.

[@mrdbourke]

Love the No TV, mobile off combination! Enjoy!

[@Williamegert]

Your teaching method is superb! Typing along with you, in additional to how thoroughly and clearly you explain everything, is a crucial supplemental learning dimension. I'm amazed here not just about how much I know but how much I understand. Thanks Daniel!

[@mrdbourke]

You’re welcome legend! Thank you

[@Skitty_Jones]

Holding Point. 4:45:57 / 10:15:27 Thanks for the Content! I appreciate your Favor.

[@yogeshhasabe4931]

Absolute Biggy !! Great Initiative Daniel to post it on the channel. Going to share it with everyone out there and recommending the course too

[@akshayakumars2814]

I learnt the basics, you are my master, much love from India ♥️🙏

[@ansharora3248]

I learnt TensorFlow from this video a week back but forgot to comment. This stuff is too good. Shared it in my community. Every course developer should learn from you. Thanks a lot!

[@florentakpro8799]

yes but tooo long

[@yangxiang6094]

Dude, you are a legend, I will be graduating in 7 days from my master and will get my hands on this right after, thanks for all those amazing sharing !!!!!!!!!!

[@mrdbourke]

Woah!! Perfect time! Massive effort on the graduation my friend! These videos will be waiting for you

[@DanA-st2ed]

well done

[@TheRealDefacto]

Dan! this is awesome! Thank you for putting in this much effort! You're a really gifted teacher.

[@mrdbourke]

Thank you so much!

[@nocopyrightgameplaystockvi231]

Bought your course from Udemy, its huge, but its the best course on earth.

[@Nirex_]

Awesome course to get up and running with TensorFlow specially if one has a good theoretical backbone of the topics explained. Perks to Daniel Bourke, Just fantastic!

[@ricardofigueiredo3244]

Hello Daniel, first let me thank you for your work and spread of your knowledge, helping other enter this new ML era... I had some problems on the first model training at the 4h43m of your video. I'm Now on the TF version 2.15.0 and i had to change the model.fit(X,y,epochs=5), changing the X Expanding his dim tf.expand_dims(X,axis=1) it only works when i use like this: model.fit(tf.expand_dims(X,axis=1),y,epochs=5) ###EDITED### 13/01/2024 as i walk on the trainning video i get more insights of how the model works and it came up to me that, if you want to use the one dimension training data X, you have to be explitcit passing the kwarg when you're adding the first input layer "input_shape=[1]": Example: model=tf.keras.Sequential( [ tf.keras.layers.Dense(100, activation=None, input_shape=[1]), tf.keras.layers.Dense(1)] ) model.compile(loss=tf.keras.losses.mae, optimizer=tf.keras.optimizers.SGD(), metrics=["mae"]) model.fit(X,y,epochs=10)

[@trs80model14]

Thank you! That fix worked for me as well, on the model at the end of the video.

[@joelmartinez2505]

I cant believe this is free, thank you

[@mrdbourke]

Enjoy Joel!

[@jag2709891]

This is amazing, first video I’ve seen of this kind that the person uses simple language whilst telling you the complicated form so you don’t get bewildered when doing further research; bravo sir!

[@aaronbm4354]

Love the way you say beautiful after each execution of code ,it inspires to have passion in coding.

[@mrdbourke]

Working code is a beautiful thing

[@arunrajiitbaero]

I urge UN to honor Daniel with the best teacher award.. much much better than university teaching

[@niksvp93]

I just love the articulation and the analogies with which you teach, Daniel. I don't think I've ever seen anyone teach anything with such an insight. You amaze me and I just love your enthusiasm. I'm looking forward the course in Udemy as well! :D

[@mrdbourke]

Thank you thank you thank you Nikhil! Those are some very big compliments. You've put the biggest smile on my face! Udemy version coming soon

[@niksvp93]

@@mrdbourke You've totally nailed it! :D

[@Jordan-sp5lw]

@@mrdbourke whens the udemy course coming

[@robinfelix3879]

@Nikhil Vattipalli is the course on Udemy and ZTM is same?

[@actualBIAS]

Just finished this masterpiece. Took me 2 days. You re wonderful. Thanks so much for sharing.

[@mazerat3122]

For those who had a ValueError right from the getgo There is one extra line that he didn't have to add with his version of TensorFlow model = tf.keras.Sequential([ tf.keras.layers.Input(shape=(1,)), ###This extra line tf.keras.layers.Dense(1) ]) model.compile(loss=tf.keras.losses.mae, optimizer=tf.keras.optimizers.SGD(), metrics=["mae"]) model.fit(X, Y, epochs=5)

[@johnpill1]

Thank you! I was stuck on this for a while. I figured out that we might need to define the input shape, but wasn't sure how.

[@story_teller_1987]

Hey Daniel.. done 5 hours of tensorflow.. Not at all getting bored.. It’s an amazing tutorial.

[@mrdbourke]

Hey Fousiya, thank you so much! Glad to hear.

[@eidmone8684]

Deep Learning is basically that one kid in middle school who "don't follow the rules, but make the rules."

[@BusinessMagnate10]

Hi Daniel, no idea if you are going to read this but please make more videos and courses, I am building a machine learning finance startup and your videos are so insightful and we watch them every day!!!!!!!!

[@bhbh476]

this man amazes me every time. thank you so much. i hope this course also release on udemy. in this way i can buy this course and learn new things

[@mrdbourke]

Thank you! Treat these videos (part 2 coming soon) as the warmup for the Udemy version

[@dr.syedinayatullah9125]

These lectures are fantastic. I was studying several books, learning through Coursera. But these lectures are better than any thing else.

[@shatandv]

Yo, this is sick, Daniel. Thank you so much! Would love a similar one for PyTorch, if you are thinking about doing one :)

[@marwenmejri6435]

Oh man you re a legend. I think this is the most documented and organized tensorflow tutorial on KZbin

[@arijitghosh2497]

This is amazing, waiting for part -2, your journey is inspiring man! great going looking forward to some great content

[@amansinghbhadauria2818]

I couldn't find part 2, where is it?

[@aminroustapour1011]

Dear Daniel, I wanted to thank you for the effort you put into making this video. I was learning machine learning when I came across your videos. I used it a lot and my learning process increased greatly. I owe you❤

[@daksheshgupta7045]

This is exactly what I was looking for, a good concise tutorial. Thanks! also, first comment heh.

[@Jayveersinh_Raj]

we can use tf.math.reduce_variance and tf.math.reduce_std, without .math it will throw error, and yeah these methods would not work with int, so cast them with dtype float. Btw, this is one of a kind video and channel out there, where you feel hooked, and want to learn more and more without taking rest. Knowledge is free, and to educate people with this much dedication is rare. Keep the work up :)

[@dassad9777]

1:33:00 To see the difference between normal, and uniform distribution we can visualize it on plot: import tensorflow as tf import matplotlib.pyplot as plt random_generator_set = tf.random.Generator.from_seed(43) random_tensor1 = random_generator_set.uniform(shape=(2,20000)) random_tensor_color = random_generator_set.normal(shape=(1,20000)) random_tensor_size = random_generator_set.normal(shape=(1,20000)) plt.scatter(random_tensor1[0],random_tensor1[1],s=random_tensor_size*2000,c=(random_tensor_color),alpha=0.01,cmap='Blues') random_generator_set = tf.random.Generator.from_seed(43) random_tensor2 = random_generator_set.normal(shape=(2,20000)) random_tensor_color = random_generator_set.normal(shape=(1,20000)) random_tensor_size = random_generator_set.normal(shape=(1,20000)) plt.scatter(random_tensor2[0],random_tensor2[1],s=random_tensor_size*200,c=(random_tensor_color*1000),alpha=0.42,cmap='Blues')

[@panashemureyi1599]

I'm loving the intro, it feels like we are figuring out everything together. makes it much more approachable for me, a beginner. really appreciate it.

[@phonethiriyadana]

this is great. I was waiting for the course to be released on Udemy. now I can already start and just continue once it is released :D

[@mrdbourke]

These videos (part 2 coming soon) will get you warmed up for the full version!

[@birajparikh3367]

Hey Daniel, Will you release this course on udemy?

[@andreystepovoy]

Man, this stuff is way better then Andrew Ng course on Coursera! Respect!!! For all the time you Invested to bring this up to us- Great Thank you!!! (Liked, Subscribed! Following)

[@mrdbourke]

Thank you!

[@act0r399]

I don't know English enough, but for this video, I ready to learn enough:)))

[@mrdbourke]

You got this!

[@act0r399]

@@mrdbourke thanks:)

[@orion3486]

Before watching i think this tutorial will be great quality, organising excited instructor and i will reply this comment after finish this part with full detailed comment thanks❤️👏

[@maharshioza2403]

In Hinduism we believe teachers are not just a human being but God.....you are my God as far as these topics are concerned 🇮🇳🙏👍🏻😂

[@jeantimex]

I have to say, this is THE best tensorflow course!

[@mrdbourke]

Thank you Yong! That's very kind of you

[@GCiambrone]

Thank you so much for this invaluable content, I'm going to be going through the whole thing!!

[@mrdbourke]

You're so welcome! Enjoy my friend! Part 2 coming soon

[@aliasgar.burhani1099]

I am definitely buying the full course after watching this video !

[@mrdbourke]

Enjoy Aliasgar!

[@sunderrajan6172]

Great work! I like the teaching method and have couple of questions/observations. 1. In your NN diagram there is a connection between Hidden to Hidden - not sure if you kept it to illustrate skip connections/dropouts and Layers; 2. In the type of learning, adding Reinforcement Learning would be nice

[@aln4075]

This is the best course on tensorflow that I've seen so far!

[@mrdbourke]

Thank you!

[@eblade4542]

What would be the pre requirements or knowledge we should know before starting this video, I’ve just started learning data science around a month ago, would I be able to learn this or should I watch something before this.

[@mrdbourke]

If you’ve got experience with Python code + a little ML you should be good to go! I’d even try it out and see how far you get before you get stuck. If you need to go learn something and come back, these videos will still be here Otherwise here’s the list of formal prerequisites: github.com/mrdbourke/tensorflow-deep-learning#prerequisites

[@chiragpalan9780]

OMG!!! holy crap!!! finished 8 hours in just 2 days... I cant believe that I came that far...Stoping now because headphone bettry is over.... Thank you so much for this video.... waiting for more!!!

[@Mr00Magician]

Me while coding after watching this entire course : *Hmm*

[@SandeshPoudel01]

witcher vibes. lol

[@Mr00Magician]

@@SandeshPoudel01 😂

[@kwakuemma8382]

Boy i think you may be better than some university tutors! I like the way you explain to detail.

[@mrdbourke]

Thank you thank you!

[@deino4753]

0:12 "I don't want to keep you too long." Sure you don't.... 🤔 Love your content though.

[@mrdbourke]

hahahaha

[@sumantthakur2383]

Every bit of this video is awesome but best part about the video were the small pauses after question + google that gave me a chance to understand/analyse what code is doing and then checking what you say to know if I was wrong or right. This helps me to remember concepts/ideas for longer periods. Thank you Daniel for this amazing tutorial

[@mrdbourke]

Thank you Sumant! Glad you’re enjoying

[@cemtekesin9033]

Is it just me or there are no like/save buttons right now?

[@Wezuzamc]

same. I wanted to save it on my playlist on youtube but there is no such option :

[@mrdbourke]

Not sure what’s happening here! Could be loading in the background

[@subhrajitdasgupta3868]

The "I can't learn it" mentality (that's bullshit) You actually are doing a lot more than just teaching, you realise that? Thanks a lot. Much appreciated for providing this motivation ♥️

[@abstract529]

PyTorch > TensorFlow

[@Deliriummary]

This tutorial is the best thing that has ever happened for me!!!! not even joking! I've been looking for an amazing and thorough tutorial on tensorflow for a year and look now! here it is! thanks!!!

[@mrdbourke]

Finally! Glad you’ve found it Mary! Enjoy :)

[@thefr8792]

Daniel Bourke Thank you, first of all! I payed for this kind of stuff on Coursera and in several menaings your free version is even better! Congrats!

[@mrdbourke]

Thank you so much! Enjoy :)

[@thefr8792]

@@mrdbourke May I get in contact with you how I could make some unpaid internship? (I get to practice, the company does not need to pay, so I guess a win-win it can be)