Hi Mr. Your fusion 360 tutorial is very easy to understand and I really really like these tutorials. Wonder if you can do more of these? I am starting to get interested in watch movements and also mechanical sculpture. Watching your tutorial I feel like it's really possible for me to dive into 3D printing mechanical gears and links.
@RELUvance5 күн бұрын
Hi, thanks very much for the compliment. Yes I think I might start making more of these videos. I had switched my focus over to AI but miss mechanical modelling too.
@mihaillomatsky556310 күн бұрын
You are a wizard, Man! That's the simple and full installation guides, that are so necessary for beginners, like me!👍👍👍
@Cavz00112 күн бұрын
Great video! Can I install TF in a venv on cmd prompt instead of conda?
@RELUvance11 күн бұрын
Yes you can use venv too.
@adrianarcega169113 күн бұрын
Thank you so much, you saved me HAHAHAH
@RELUvance11 күн бұрын
You're welcome!!
@akashgarg577017 күн бұрын
Thank you so much, I was struggling for 2 days before I found your tutorial.
@RELUvance11 күн бұрын
Glad it helped!
@VlogWithParam24 күн бұрын
what will be the DOF of this and how many joints in this ?
@shashankbhutiya923629 күн бұрын
Explained using Multiple methods, Is the best part for me.
@martinamilo6153Ай бұрын
Thanks alot.. would have preferred if the video was a little bit clearer.. although it was very helpful and precise..
@NowshinAlamАй бұрын
Thank you very much for your guide! It helped me a lot to set up the latest tensorflow gpu version in windows. Finally my GPU is showing up when importing tensorflow.👍 However, I'm getting 3 warnings, saying "Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered" and 2 mores similar messages with cuDNN and cuBLAS. Have you ever encountered such messages?
@nyanhtetaung78Ай бұрын
I have got all the installation done. how can i use it from jupyter notebook?
@Yo_LilithАй бұрын
I followed all these steps for CPU and GPU and I am still getting errors when I try to import tensorflow :(
@keshavranjith8212Ай бұрын
I am extremely new to this space. I just started neural networks and my processing times in google colab has been humungous. I figured its because its not using my gpu eventhough i use the t4gpu runtime. So i went with this tutorial and downloaded the docker and completed every step and it works. But how can I now use my jupyter notebook file?
@RELUvanceАй бұрын
There’s a different docker file you can use that includes Jupyter notebook… scroll through the comments a bit and you’ll find the one where I responded to someone else… use that command
@rn8580Ай бұрын
Thank you! That's the only tutorial that worked for me. However, I just wanna know if it is possible to run VScode in the method3/docker.
@aratakiitto002Ай бұрын
i have a laptop with intel iris xe graphics, integrated gpu can i run tensorflow?
@aratakiitto002Ай бұрын
i have a laptop with intel iris xe graphics, integrated gpu
@RELUvanceАй бұрын
You need an Nvidia graphics card for the GPU-enabled version to work.
@valeriocosemans8286Ай бұрын
When I implement motion link between the gear, everything revolves around the larger gear. As far as I know I followed all the instructions correctly. If I preview the larger gear's motion separately then turn correctly.
@Shiva-divaАй бұрын
Had the same issue, my main spur gear was set as 'ground to parent', unset the gear and try it again
@kletchatiiАй бұрын
awesome video. thank you a lot
@RELUvanceАй бұрын
Glad it helped!
@terraintacticianАй бұрын
Why did you use python version 3.9 for the windows for tensorflow installation?
@RELUvanceАй бұрын
That’s the version that is officially supported by the version of tensorflow being installed.
@terraintacticianАй бұрын
@@RELUvance After installing the tensorflow and using jupyter notebook, when I run the following code cell, I get the error - The kernel appears to have died. It will restart automatically. Do you have any solution for this? Code: linear_layer = tf.keras.layers.Dense(units=1, activation = 'linear', ) a1 = linear_layer(X_train[0].reshape(1,1)) print(a1)
@rgb85342 ай бұрын
Which is the best method among these 3?
@RELUvance2 ай бұрын
Option 2 is the best if you don’t need the absolute latest gpu version (most people).
@ezequielleonzybert2 ай бұрын
Is this gear parametric? Can I modify it by changing the variables? There was a constant on the tooth design and also the profile is being imported as a constant.
@Luminate-mn7cf2 ай бұрын
thats sad caz many new lib req new version of tensorflow or keras , btw it worked . tq sir!
@RELUvanceАй бұрын
Glad it worked for you!
@khuzdaradventures57722 ай бұрын
oneDNN custom operations are on. You may see slightly different results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-06-22 21:19:41.593155: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. TensorFlow Version: 2.16.1 2024-06-22 21:19:45.398512: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. GPU device: can ypu solve this problems plz
@khuzdaradventures57722 ай бұрын
I WANT TO SOLVE THIS PROBLE BRO PLZ CAN YOU SLOVE THIS PROBLEM IN NATIVE WINDOWS
@khuzdaradventures57722 ай бұрын
its cpu version
@RELUvance2 ай бұрын
In the video I explain how to install both the gpu and cpu versions. Maybe I don’t understand your comment?
@khuzdaradventures57722 ай бұрын
@@RELUvance can you solve problem in my next comment
@akhilagarwal21322 ай бұрын
After doing this, can i use tensorflow in jupyter lab?
@RELUvanceАй бұрын
Yes, if you run Jupyter from within the Tensorflow environment you created.
@kaustubhkubitkar61152 ай бұрын
after installing tensorflow gpu how to access it from the jupyter notebook as there is jupyter pre install in my pc through ananconda and in same command line i installed tensorflow but i was anable to get it on my jupyter notebook how to do it please help me out
@rubensrogato23722 ай бұрын
I truly appreciate it.
@RELUvance2 ай бұрын
I’m glad it helped!
@allenlin13092 ай бұрын
Install tensorflow Bible thank you!🎉 Method 3 help me a lot
@RELUvance2 ай бұрын
So glad that it worked for you!
@botobeni2 ай бұрын
thank you
@RELUvance2 ай бұрын
You're welcome!
@botobeni2 ай бұрын
it works well
@botobeni2 ай бұрын
you are amazing
@vegam052 ай бұрын
When i tried to run the sample script to verify whether the docker works, it said: "docker: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?. See 'docker run --help'.", will this cause any issues?, i can always run it via 'sudo service docker start' tho
@RELUvance2 ай бұрын
If you can run with sudo but not without, it sounds like setting up the user profile like I showed in the video didn’t work properly. Did you get any error messages when doing that? Try rebooting the computer too if you haven’t already.
@edgareglis72493 ай бұрын
As I understand there is no more version 2.10 available, as I get this (tf-gpu) PS C:\Users\edgar> pip install tensorflow==2.10 Defaulting to user installation because normal site-packages is not writeable ERROR: Could not find a version that satisfies the requirement tensorflow==2.10 (from versions: 2.16.0rc0, 2.16.1) ERROR: No matching distribution found for tensorflow==2.10
@RELUvance3 ай бұрын
Hi Edgar, are you using the command I used in the video? (pip install "tensorflow<2.11") The actual version number is actually something like 2.10.1 (a third digit). By using <2.11 you will get the last "version" of 2.10 if that makes sense.
@sowjanyay34243 ай бұрын
excellent...this video helped me a lot
@RELUvance3 ай бұрын
Fantastic!
@sowjanyay34243 ай бұрын
@@RELUvance sir, can you please show how to install Tensorflow+GPU on WSL2 environment without dockers help
@RELUvance3 ай бұрын
Yes, I am planning to make a separate video on that.
@varunahlawat90133 ай бұрын
Great tutorial! I Fed up my first one but then today I did it again and in less than 5 minutes I made a perfectly meshed gearbox!
@RELUvance3 ай бұрын
Great! Glad it helped!
@kuleenthejas83823 ай бұрын
i just wanted to know whether we have to use docker run - -gpus all -it -v $PWD:/working -w /working tensorflow/tensorflow:latest-gpu bash, every time we reopen the linux shell after closing it or ??is there another way to go about it ,also to run the req python script we have use the above mentioned cmd and then call the script ?or is there some other way to do this
@RELUvance3 ай бұрын
There are actually many ways to work with docker containers but I tried to keep the video simple and just showed this one example. For example, you can actually instantiate a docker container as a "daemon" with this command: docker run --gpus all -dit --name tf -v $PWD:/working -w /working tensorflow/tensorflow:latest-gpu bash This will cause the container to be persistent even after stopping the process or restarting the computer, and can be re-started by using: docker attach tf (replacing tf with whatever name you used in the preceding command. To run a script immediately instead of launching the container as a shell you can replace "bash" as follows: docker run - -gpus all -it -v $PWD:/working -w /working tensorflow/tensorflow:latest-gpu python [script name here] Hope this helps! As you can see it gets complicated depending on what you want to do, and this was beyond what I wanted to cover in the video. Let me know if you think a separate video on using docker would be helpful, and I might be able to make one.
@kuleenthejas83823 ай бұрын
@@RELUvance thanks for the clarification Also a video on using docker for python scripts via the vscode or any other ide would be helpful
@glitcher87843 ай бұрын
how can I use this in visual studio community?
@RELUvance3 ай бұрын
The 2nd method I shows in the video actually has python installed natively in Windows so you should be able to fire up VS and use it directly within windows. For the docker use-case, it may be a bit more challenging because python and tensorflow are inside of a docker container. It's probably still possible, but I haven't explored this myself.
@FtheIneffable3 ай бұрын
You just helped me overcome the current, biggest roadblock I had to starting my ML/AI journey. I and my daughters thank you, endlessly.
@RELUvance3 ай бұрын
I'm so glad that I could help!! Yes, TensorFlow is one of the most important packages you need to get started, and it's one of the hardest to get working properly... which method did you end up using from the video?
@okjdoc4823 ай бұрын
finally a latest video . thank u dude
@RELUvance3 ай бұрын
Yeah that’s why I made it… all the other videos are so out of date.
@vito82533 ай бұрын
should I install TensorFlow native CPU and GPU versions together or only one of them is allowed?
@RELUvance3 ай бұрын
If you are installing them via conda or docker like I showed in the video you can install them both if you want because they will be in separate environments. I would only install the gpu version though if you are planning on running really compute intensive models. Otherwise the cpu version will be fine on its own.
@zulfiqaralisyed46403 ай бұрын
Thank you for this video...
@RELUvance3 ай бұрын
No problem! Hope that it helped you.
@jn81943 ай бұрын
You are golden! Thank you verry much for all the teachings it was a great help in my academic works. May you have many nice days - as many as you saved my days from tears and sorrows with this tutorial! Cheers!
@RELUvance3 ай бұрын
I’m glad you enjoyed!
@Psykh-e3 ай бұрын
👑
@daedalusrasmus32783 ай бұрын
Wow, this is great, I have a question though, what about working with notebooks? Is there a way to be able to run it from vscode? The kernel isn't explicitly shown prolly 'cuz it's in a container. I've seen some tutorials about using the "WSL" and "Dev Containers" extensions but am still experimenting as to how to make them all work together. Still, I'm thankful that I found a tutorial that could utilize newer versions of TF. Edit: This is with regards to the Docker TF Installation
@RELUvance3 ай бұрын
Hi @daedalusrasmus3278 - glad that you found it helpful! Yes, there's a docker version of TensorFlow that uses notebooks as well, but to be honest I haven't tried using VScode with it through docker. To open a notebook version in a docker container, use this: docker run --gpus all -p 8888:8888 -it tensorflow/tensorflow:latest-gpu-jupyter ... and then you can access the notebook from a web browser.
@RELUvance3 ай бұрын
I hope this video helped you with your TensorFlow installation - it still surprises me how [unnecessarily] difficult it can be to get installed properly, especially with the GPU. Please reply and let me know which method worked for you!
@FtheIneffable3 ай бұрын
Liked, commented, and commenting here to tell you thank you from the bottom of my heart!
@mdabubakarchowdhurysunny28463 ай бұрын
would ykou tell me its help anaconda shell
@RELUvance3 ай бұрын
@@mdabubakarchowdhurysunny2846 sorry, I don’t understand what you are asking
@mdabubakarchowdhurysunny28463 ай бұрын
@@RELUvance i want to ask you tensorflow gpu doesn"t install conda environment , would yoiu like to tell us how i used install conda
@RELUvance3 ай бұрын
@mdabubakarchowdhurysunny2846 At 5:21 in the video it explains how to install miniconda, which is a “lite” version of the full anaconda.
@caiobraga34254 ай бұрын
Amazing!!!
@RELUvance4 ай бұрын
Really glad you enjoyed it!!
@OurloyChizungulire4 ай бұрын
Wow this was real helpful❤
@RELUvance4 ай бұрын
Glad it helped you!
@kunhaklee19506 ай бұрын
2:08 It's minor error but 80+16/3 = 32, not 19
@RELUvance4 ай бұрын
Thanks for this, I will add this correction to the video description.
@devopssimon6 ай бұрын
Can some give me what the correct result should be for (80+16)/3. At 13:51 Dust4K suggests the answer is 19. Sorry if I am stickler, but I get 32 and I want to know that I am doing the correct calculations, or is the answer irrelevant and just needs to be a whole number?
@trailranger66027 ай бұрын
This was a joy to watch.
@RELUvance5 ай бұрын
Thank you so much!
@trailranger66027 ай бұрын
That was cool. Imagine my disappointment when I realized you have only 3 videos. You seem like someone I could learn a helluva lot from.