TensorFlow Tutorial 2022
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- čas přidán 25. 08. 2024
- I'll teach a ton about how to use TensorFlow and I'll answer all your questions live. I'll cover all of the following and much more :
❇️ Working with Tensors
❇️ Google Colab
❇️ Downloading / Cleaning Data
❇️ Boxplots, Histograms & Correlation Matrix
❇️ Neural Network Regressions
❇️ Random Data
❇️ Normalizing Data
❇️ One Hot Encoding
❇️ Separate Features & Labels
❇️ Separate Training & Testing Data
❇️ Building Models
❇️ Compiling, Optimizing, Evaluating
❇️ Activation (What data is important)
❇️ Fitting, Epochs & More
🖥️ Code is Here : github.com/der...
📆 Next Video: May the 18th at Noon EST / 4PM UTC
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#DeepLearning #Tensorflow #MachineLearning
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Thank you for this video Derek. I've been struggling for 6 years now to find what programming career to pursue. I've been jumping from one programming language to another. This feels like the right stuff for me. Truth is i just like working with numbers, statistics, probability, predicting prices or other numeric results and optimization. No matter in what language. Thank you again.
I'm happy I could help :) Yes after trying just about everything I prefer data science and machine learning
A
Wow. Never stop learning derek!!
I never will :)
Finally!
I requested this like 3-4 years ago hahaha!
Sorry about the wait. I'll do my best to make the series worth waiting for
Look at all those books behind you, you're an inspiration man.
Love you and your videos Derek . I am a fan 2016
Thank you very much :)
I'm very excited for more upcoming data science stuff from you Derek 😉, Thanks!!
That makes me very happy :) I'll livestream the next part on the 18th. I'm going to take my time and make sure that every video is good.
Man it's so great to have clicked this video and actually SEE Derek :D I feel like I'm in a classroom. Lol So cool.
I'm very happy you enjoyed it :) I have many more on TensorFlow
I wish I could have an opprotunity to talk to you one day. You really remind me of Dan Shiffman, I don't know if you know him but he has a really nice energy like you!
Thank you for the complement :) Dan's videos look very cool! I do livestreams on Tuesday and Wednesday every week noon EST. Feel free to stop by. I love talking with everyone and answer any questions I get
@@derekbanas Awesome,will do it!
Hey derek i will be so appreciate if you make a video with sckit learn ,
Thanks for doing this video!
Fun stuff! Check out Julia/Flux, maybe you'll like it. Also, a Banas Docker tutorial would be grrrrreat. Then you could give us a docker-compose file to match your set-up.
Thanks for the requests. Yes I had a lot of fun making this video
Nice book case, lots of books
It’s a fake background :)
Nice Video! very excited for the upcoming videos/lectures :)
Thank you :) I'll livestream the next part on the 18th Noon EST if you want to see it and ask questions live
Thanks for such a detailed video. I hope you will also cover genetic algorithms in a separate video.
This is just part one. I plan on making machine learning videos for at least the next 6 months.
Great job as always, thank you!!!
Thank you very much :)
Great stuff thank
Thank you sir
Thank you :) I'm happy you enjoyed it. The next stream will be on the 18th
Hi Derek, how long are you working as Data Scientist. I was learning Design Patterns with your Java videos 6 years ago and I am now doing my first professional ML task. You are on point with this tutorial!
I started doing data science seriously about 8 years ago. I hope you enjoy the videos. I'll make a ton of ML videos over the next 6 months and cover just about everything
Hi Derek, qq, in this example after model is set, what method to use to actually predict salary e.g. based on 2 features 'age' -25, 'pts'-1000
Am i wrong t i feel tensors is similar in the way to index to Matlab. No los and iloc() needed.
Merci 😊
It is my pleasure to help :)
What is the définition of a framework? Tensor flow or keras are frameworks no? What is the difference with a library? Sorry I am not in this field at all so sometimes I am lost with the vocabulary…
In answer to your question, Derek, this is definitely an every Wednesday type of thing.
Thank you :) The next video will be streamed on the 18th of this month at Noon
Please also make a tutorial on selenium python and chromedriver Thanks a lot
I’ll see what I can do. Thanks
Derek bananas 😂😂😂
That's my name :)
udemy link does not work
Here are the up to date links
➡️ Python Data Science Series for $9.99 : Highest Rated & Largest Python Udemy Course + 56 Hrs + 200 Videos + Data Science bit.ly/Master_Python_37
➡️ New C++ Programming Bootcamp Series for $9.99 : Over 23 Hrs + 53 Videos + Quizzes + Graded Assignments + New Videos Every Month bit.ly/C_Course_37
Thank Derek but can you remove live comment , it's useless for me as offline viewer
Sorry about that. Do you see value in me re-recording this as a non-livestream?
Looks like somebody has a fancy pants new intro screen.
I have been practicing with livestreaming on Twitch for a while to make sure everything looked good :)
@@derekbanas which book is best for Python learning?
Thanks!
Wow, thank you very much :) I greatly appreciate the support! I think that is the first time anyone has done that.
so many books :) how many of these have you read? just curious
I've basically been reading nonstop since I was a little kid because I didn't have a TV or any other form of entertainment. Many of my tutorials come from reading 400+ page books and converting them into 1+ hour videos. Aside from technical books I also read non-fiction (My Favorite is The Brief History of Nearly Everything) and fiction. In the last few years I started reading all the classic books, or at least I tried to. My favorite was probably 1984, but Into the Wild and Animal Farm were also very good. I'm currently reading 20,000 Leagues under the Sea. My favorite fiction book series is either His Dark Materials or The King Killer Trilogy
@@derekbanas FYI, the non-fiction book that always springs to my mind when asked is "Nathaniel's Nutmeg". although ive probably forgotten a lot from it, i still use some of the facts from it to entertain. The fact that i always site it to me means it must be good lol.
Jesus i see your face, in years watching you haha, funny
Holy crapamoly! What is this????
Indeed -- it might have been a nice idea to kick off by pointing viewers at some introductory material on what the heck TensorFlow is. 🤪 I googled the thing: it's apparently a Python library for building neural networks.
It is part one of a deep dive into machine learning with TensorFlow. It will probably take me 6 videos or more to cover everything. Sorry for not making that clear
I literally screamed. Seriously. This requires like PhD in computer science and no less 10 years academic experience to understand. Dayum.
It is actually pretty straight forward. If you know Python and ask questions I'm pretty certain anyone can learn to understand machine learning at a deep level.
Sentdex is a channel about machine learning, and teaches machine learning from scratch. Maybe give that channel a go.