Hey! I hope this playlist will be useful to you in learning the basics of TensorFlow and I think after going through these videos you will feel comfortable with using TensorFlow, doing your own projects, reading official documentations etc. I spent a lot time trying to make them as concise as possible and I think the result is pretty good. Feedback is always appreciated! I also learned from and was inspired to make these videos on TensorFlow after I completed the TensorFlow specialization on coursera. Personally I think these videos give a similar understanding but if you wanna check it out you can. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link. affiliate: bit.ly/3JyvdVK non-affiliate: bit.ly/3qtrK39

Ladies and gentlemen. Congratulations on discovering the best TensorFlow tutorial in the entire freaking world.

I tried several tensorflow videos, this is the first one that I could understand. Thank you so much for making it beginner friendly.

Four bad tutorials for installing Anaconda and TensorFlow later, not to mention two-plus hours of my life, I finally find a fucking video that actually walks me through a successful setup. Thank you so much.

Great video! I've been trying to download tensorflow for a couple days now and this was the first video with helpful insight. Thank you!

That’s true ! The most difficult part in using tensorflow is the installation 🤣

Thank you so much I finally installed tf!! well done, very clear explanation

Your videos are fantastic. Exactly what I was looking for and I looked at a lot of alternatives.

I have watched 6 videos till now and all videos give very deep understanding of tensorflow. You are awesome.

Bro i don't really know who you are, bu man your videos has helped me lot. Just an advice that will help me please keep on doing this type of videos that you love and that brings value. It has helped me a lot you can not event imagine !!! thanks very very very much

thank you alladin this is the best tutorial i have found ever this is like a college course

Thanks so much @Aladdin Persson. I have surfed through so many websites online. This is the easiest way of installing tensorflow on system.

Not me doing a little dancy dance with the intro music, excited to find the best tutorials

You are the savor!!! Thank you so much for these tutorials

Superb series. I am glad to get this series. Thanks Aladdin

As usual very informative and awesome content. Thank you so much.

Congrats, man! Nice video.

Thank you !! I installed on a virtual environment .venv on Visual Studio by typing in the command prompt: pip install tensorflow. It worked

Thank you for not making this 7 hours or 3 hours but thought out videos

Man thank youuuuuu I had been searching for video like this for 4 days

Interesting Video, I was looking for this type of video finally I found. Thanks :)

Advice for anyone having issues with the interpreter: The latest version of PyCharm was not detecting the interpreter and did not let me manually load the .exe file without errors either. I installed the 2020.2 version of PyCharm (as in the video) and that fixed the issue.

Best tenforflow tutorial in the universe

Keep it up Your Awesomeness... Take Love Man❤ Give some Slightly Big Project based Videos and Thanks in Advance❤

bro thnx so much i have watched 100 useless video thank you the best

Just what I was looking for! Thank you for being awesome! ;)

This is freaking awesome!

Great teacher! Thank you very much.

very precise step by step instructions

Awesome Content 🔥

understandable. your modulation is good

The opening sentence reminds me of theboston's Python tutorial!!

Do you need to have both tensorflow gpu an cpu or can you pick either? If so what would be the difference between them? I'm planning to use tensorflow for machine learning on images

Thanks alot for ur support thru this vdo.

great tutorial keep it up!

Great video, thank you.

Hey Aladdin! Thank you for your amazing videos. just a silly question may be, wanted to know why you use tf.__version__, what is the use of '__'

Great video. Thanks.

give error ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none) ERROR: No matching distribution found for tensorflow

brilliant tutorial!!!!!!!!!!!!!!

Just found your channel because you commented on mine. Great content! Keep it up, and I hope we stay in touch!

I installed tensorflow under the environment tf_2, I can run it under the environment at terminal. but when I turn to Jupyter or vscode, it can't find tensorflow

hi, really useful video. but i face some problem during using conda install tf.gpu, it bump up error said packages are not available from current channels, how can i solve this?

Hey Aladdin, great work. Would appreciate if you could add TF serving to the playlist.

Subscribed after the very first sentence. Gotta be good.

conda create --name tf tensorflow-gpu does not automatically download the cudatoolkit and cudnn. How can I get them?

Im starting to watch this tutorial and not finish yet. Will this help for image recognition?

I understand that cuda is NVidia specific. Is this tutorial possible with an AMD card? (7900xtx)

Hello. Please I followed the video and downloaded and installed everything as instructed. But in the command prompt window, I was told that ‘conda is not recognized as an internal or external operable program’

Great video. Al runs smooth... any tips to get up and running with PyCharm (make best use of this package?)

python and pip both are not visible from my conda enviroment. While I am able to run Python and Pip commands outside of it.

is there a reason why tensorflow 2.12 won't detect my gpu. I tried the CPU method and it works, but the GPU method just keeps throwing back errors when i try to import tensorflow in an IDE after loading up the conda environment in said IDE

please help i am trying to install a specific version of tensorflow but anaconda is always installing cached version 2.4

What happens if we mistakenly did the first part (for the gpu (also without having one, so I wrote "conda create --name tf tensorflow", I omitted the "-gpu" part)) and then also did the second part about the cpu? Do we need to uninstall something?

Thanks helped me a lot 😋

Hey do I need Python Installed via Anaconda for this to work?

i wish god bless you, thanks so much!!

I tried to install Anaconda and Cyfarm with CPU on windows 10 recently, but I could not succeeded :another version of Anaconda with another answer of software to the commands written. And Phyton did not find its interpreter - that means I did not install correctly ?

anaconda is slowing down my PC a lot is there an alternative or something that I can do in settings?

Finally did it boys

I'm a novice, and I'm wondering if I can build a tensorflow environment on VScode?

I have a question, can this be used with Pisco?

It is normal to stay that much to download after I press y?

dude ur the best i cant thank u much

Please help. After the typing "pip install tensorflow" there's an error. "ERROR: Could not find a version that satisfies the requirement tensorflow ERROR: No matching distribution found for tensorflow" What should I do?

Doesnt pyCharms virtual environment do the same as Anaconda ?

Hey dude, can u help me, i have an error message while installing anaconda " failed to export package"

Thanks for the video

Hi, I have managed to install TensorFlow and verify the version installed. However, when I try to run your model from GitHub, it stops at the first epoch and does not do the others. It also gives me this message: "This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags." Any ideas on what this means?

your opening is created using manim right? please make tutorial for manim. Thanks

Thank you so much!

when i try to run print(tf.__version__) it comes up saying AttributeError: module 'numpy' has no attribute 'object'. pls help

I try make all steps , but I have error with comand pip install tensorflow...

After doing all the things showing the error ModuleNotFoundError: No module named 'tensorflow' kindly guide

hello , i have amd gpu . how ican use amd gpu for tensorflow ?! my gpu model is : rx550x . please help me!!

ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none) I have this error, could anyone tell me how can I fix it

Cannot find reference '__version__' in '__init__.py' plz help

cudnn and cuda toolkit is not there while i'm installing

hey bro actually i have a gaming laptop but not that much of a gamer kindly explain that cuda enabled gpu etc more clearly pls.

what about mac users..? tensorflow-gpu isn't available...

bro thank you so much!!!!!

Instead of PyCharm can we use Spyder ?

I got this error down below: 2020-09-10 19:18:27.811275: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found 2020-09-10 19:18:27.811815: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

How to GPU driver download for windows 10

I am not able to download tensorflow gpu on my gtx 1650ti which is a bit new. I followed your steps and When I executed this- ""print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))"" it returned number of gpus available is 0... PLS HELP BRO...

Hello:D First of all thank you for the content. It is easy to follow and understand. I have one question: Do I need to Install TF for my GPU and CPU? Or is it enough to install the only version for the GPU due to the better performance? Thank you. BR

7:25 The two environments do not pop up for me

showing error no module found "tensorflow.python"

I have an amd GPU so facing problems

while done all the step and lastly i see the version of that then showing this error how to fix it ''''C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\dtypes.py:585: FutureWarning: In the future `np.object` will be defined as the corresponding NumPy scalar. np.object, Traceback (most recent call last): File "D:\AIMachineLearningCode\my_FirStProject\main.py", line 1, in import tensorflow as tf File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\__init__.py", line 41, in from tensorflow.python.tools import module_util as _module_util File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\__init__.py", line 46, in from tensorflow.python import data File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\__init__.py", line 25, in from tensorflow.python.data import experimental File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\experimental\__init__.py", line 97, in from tensorflow.python.data.experimental import service File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\experimental\service\__init__.py", line 353, in from tensorflow.python.data.experimental.ops.data_service_ops import distribute File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\experimental\ops\data_service_ops.py", line 26, in from tensorflow.python.data.experimental.ops import compression_ops File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\experimental\ops\compression_ops.py", line 20, in from tensorflow.python.data.util import structure File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\util\structure.py", line 26, in from tensorflow.python.data.util import nest File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\data\util est.py", line 40, in from tensorflow.python.framework import sparse_tensor as _sparse_tensor File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\sparse_tensor.py", line 28, in from tensorflow.python.framework import constant_op File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\constant_op.py", line 29, in from tensorflow.python.eager import execute File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\eager\execute.py", line 27, in from tensorflow.python.framework import dtypes File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\dtypes.py", line 585, in np.object, File "C:\Users\DELL\anaconda3\envs\tf\lib\site-packages umpy\__init__.py", line 305, in __getattr__ raise AttributeError(__former_attrs__[attr]) AttributeError: module 'numpy' has no attribute 'object'. `np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: numpy.org/devdocs/release/1.20.0-notes.html#deprecations''''''

tysm

THX nice video

Well Explained!!! Thanks a lot for this video. But i have a doubt that, if i install TF for CPU for now, is it possible to download it later on GPU on the same system?

can't install conda. always stuck at "setting up the package cache"

Thank you the install videos are great...I followed what you said for creating an environment for tensorflow using cpu but I got the first error saying "Could not find a version that satisfies the requirement tensorflow" ; (2 error) "No matching distribution found for tensorflow" ... Do I need to: deactivate the environment: conda deactivate then remove the environment by using : conda env remove -n tf_cpu Re-add: conda create --name tf_2.4_cpu python==3.8

thankyou so much

Cudatoolkit and cudnn packages weren't downloaded

Great tutorial, but wasn't straight forward. It may be out of date. I get an error while running those two lines: FutureWarning: In the future `np.object` will be defined as the corresponding NumPy scalar. File "C:\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\dtypes.py", line 585, in np.object, File "C:\Anaconda3\envs\tf\lib\site-packages umpy\__init__.py", line 324, in __getattr__ raise AttributeError(__former_attrs__[attr]) AttributeError: module 'numpy' has no attribute 'object'. `np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:

Bro can you do a vedio on bazel and myst32 install what are the pros and cons

but my laptop doesn't have NVIDIA GEFORCE i had this in my previous laptop which i gave away to some one what should i do now ??? is it necessary to download cuda and all