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RELUvance
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Добавлен 26 окт 2019
Your hub for AI insights & news. Unraveling deep learning's mysteries, empowering enthusiasts & professionals alike.
Antigonish DRONE
Drone flyover of a property I am considering buying near Antigonish, NS.
Просмотров: 22
Видео
Drone flyover - West Jeddore, NS
Просмотров 10Месяц назад
Drone flyover of a property I am considering to buy in Lower West Jeddore, NS.
How to install TensorFlow in Windows - 2024 Guide
Просмотров 7 тыс.4 месяца назад
In this tutorial, we'll navigate through three different methods of setting up your TensorFlow development environment for machine learning, ranging from simple setups to more advanced configurations. TensorFlow can be extremely finicky to install without errors, so I walk through each method step by step and the hope is that at least one of these will work for you. Each approach offers varying...
Fusion 360 Tutorial: Planetary Gear Train Modeling and Animation
Просмотров 84 тыс.4 года назад
Fusion 360 Model of the Planetary Gear: a360.co/348xD84 Related videos: Spur Gear from Scratch: ruclips.net/video/tqDYPaUmCSM/видео.html Gear and Slider: ruclips.net/video/EmxC22lEbXY/видео.html This is a Fusion 360 tutorial that will show you how to model and animate a planetary gear train. We model the ring, sun, and planet gears using a spur gear add-in, and then proceed to model a carrier t...
Fusion 360 Tutorial: Gear and Slider Modeling
Просмотров 47 тыс.4 года назад
Fusion 360 Model of Final Model: a360.co/33Bovsg My other video modeling spur gears from scratch: ruclips.net/video/tqDYPaUmCSM/видео.html Fusion 360 can be used to model complex mechanical systems. In this video tutorial I show you how to convert rotary motion (spur gears) to linear motion using a slider. This is also sometimes called a crank and slider assembly. In this tutorial I go through ...
Drawing an Involute Spur Gear from Scratch in Fusion 360
Просмотров 10 тыс.4 года назад
Involute Gear Profile Calculator: bit.ly/34C3AGO Fusion 360 Model of Final Gear: a360.co/2R7IGeA In this video I show how to draw a Spur Gear from scratch in Fusion 360. Instead of approximating the involute curve of the gear tooth, we calculate it using a spreadsheet (see the link above) and import the curve to our model for an accurate representation of the gear teeth. Although I used Fusion ...
great tutorialx, this channel deserver more subs, keep posting and you channel gonna big, greetings from indonesia
Thank you very much!
Hi Dustin first thank you for a logical step by step video listing different methods in one video. Question: did you add any paths to the Enviroment Variables in Windows ? thanks again 👌
Hi Peter, no, I didn’t make any changes to windows paths.
@@RELUvance Okay thank you !
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.
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.
You are a wizard, Man! That's the simple and full installation guides, that are so necessary for beginners, like me!👍👍👍
Great video! Can I install TF in a venv on cmd prompt instead of conda?
Yes you can use venv too.
Thank you so much, you saved me HAHAHAH
You're welcome!!
Thank you so much, I was struggling for 2 days before I found your tutorial.
Glad it helped!
what will be the DOF of this and how many joints in this ?
Explained using Multiple methods, Is the best part for me.
Thanks alot.. would have preferred if the video was a little bit clearer.. although it was very helpful and precise..
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?
I have got all the installation done. how can i use it from jupyter notebook?
I followed all these steps for CPU and GPU and I am still getting errors when I try to import tensorflow :(
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?
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
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.
i have a laptop with intel iris xe graphics, integrated gpu can i run tensorflow?
i have a laptop with intel iris xe graphics, integrated gpu
You need an Nvidia graphics card for the GPU-enabled version to work.
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.
Had the same issue, my main spur gear was set as 'ground to parent', unset the gear and try it again
awesome video. thank you a lot
Glad it helped!
Why did you use python version 3.9 for the windows for tensorflow installation?
That’s the version that is officially supported by the version of tensorflow being installed.
@@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)
Which is the best method among these 3?
Option 2 is the best if you don’t need the absolute latest gpu version (most people).
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.
thats sad caz many new lib req new version of tensorflow or keras , btw it worked . tq sir!
Glad it worked for you!
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
I WANT TO SOLVE THIS PROBLE BRO PLZ CAN YOU SLOVE THIS PROBLEM IN NATIVE WINDOWS
its cpu version
In the video I explain how to install both the gpu and cpu versions. Maybe I don’t understand your comment?
@@RELUvance can you solve problem in my next comment
After doing this, can i use tensorflow in jupyter lab?
Yes, if you run Jupyter from within the Tensorflow environment you created.
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
I truly appreciate it.
I’m glad it helped!
Install tensorflow Bible thank you!🎉 Method 3 help me a lot
So glad that it worked for you!
thank you
You're welcome!
it works well
you are amazing
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
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.
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
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.
excellent...this video helped me a lot
Fantastic!
@@RELUvance sir, can you please show how to install Tensorflow+GPU on WSL2 environment without dockers help
Yes, I am planning to make a separate video on that.
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!
Great! Glad it helped!
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
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.
@@RELUvance thanks for the clarification Also a video on using docker for python scripts via the vscode or any other ide would be helpful
how can I use this in visual studio community?
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.
You just helped me overcome the current, biggest roadblock I had to starting my ML/AI journey. I and my daughters thank you, endlessly.
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?
finally a latest video . thank u dude
Yeah that’s why I made it… all the other videos are so out of date.
should I install TensorFlow native CPU and GPU versions together or only one of them is allowed?
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.
Thank you for this video...
No problem! Hope that it helped you.
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!
I’m glad you enjoyed!
👑
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
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.
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!
Liked, commented, and commenting here to tell you thank you from the bottom of my heart!
would ykou tell me its help anaconda shell
@@mdabubakarchowdhurysunny2846 sorry, I don’t understand what you are asking
@@RELUvance i want to ask you tensorflow gpu doesn"t install conda environment , would yoiu like to tell us how i used install conda
@mdabubakarchowdhurysunny2846 At 5:21 in the video it explains how to install miniconda, which is a “lite” version of the full anaconda.
Amazing!!!
Really glad you enjoyed it!!
Wow this was real helpful❤
Glad it helped you!
2:08 It's minor error but 80+16/3 = 32, not 19
Thanks for this, I will add this correction to the video description.
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?