- 49
- 34 390
machine decision
Japan
Приєднався 12 гру 2022
To help you with your project our website via this link:
www.machinedecision.com/
Hi This Dr. Mohammad Samara; Welcome to our UA-cam channel """"Machine Decision"""" ! Here, we explore the exciting world of machine learning and its practical applications in engineering and business. Our goal is to empower you with the knowledge and tools to build machines that can make informed decisions.
Join us on this exciting journey... Please Don't forget to like and subscribe to stay up-to-date with our latest videos!
www.machinedecision.com/
Hi This Dr. Mohammad Samara; Welcome to our UA-cam channel """"Machine Decision"""" ! Here, we explore the exciting world of machine learning and its practical applications in engineering and business. Our goal is to empower you with the knowledge and tools to build machines that can make informed decisions.
Join us on this exciting journey... Please Don't forget to like and subscribe to stay up-to-date with our latest videos!
Lec.5: Set the Training Process [Physics Informed Machine Learning]
#simulation #pinns #engineering #nvidia #machinelearning #technology
Find a Full step by step Bootcamp course for "PINNs Tech Bootcamp" in this link
www.courses.machinedecision.com/pinns-tech-bootcamp
Please see our courses in the following link:
www.courses.machinedecision.com/
Please visit our website in the following link:
www.machinedecision.com/
Physics Informed Neural Networks (PINNs)
Inverse Physics Informed Neural Networks (I-PINNs)
Simulation By Deep Neural Operator (DeepONets)
PINNs Using NVIDIA Modulus
NVIDIA Modulus: Advanced Topics
Machine Learning For Engineering : A-Z
Find a Full step by step Bootcamp course for "PINNs Tech Bootcamp" in this link
www.courses.machinedecision.com/pinns-tech-bootcamp
Please see our courses in the following link:
www.courses.machinedecision.com/
Please visit our website in the following link:
www.machinedecision.com/
Physics Informed Neural Networks (PINNs)
Inverse Physics Informed Neural Networks (I-PINNs)
Simulation By Deep Neural Operator (DeepONets)
PINNs Using NVIDIA Modulus
NVIDIA Modulus: Advanced Topics
Machine Learning For Engineering : A-Z
Переглядів: 104
Відео
![Lec.4: Define ODEs Deep Neural Network [Physics Informed Machine Learning]](http://i.ytimg.com/vi/YlzQHR9ywSM/mqdefault.jpg)
![Lec.4: Define ODEs Deep Neural Network [Physics Informed Machine Learning]](/img/tr.png)
Lec.4: Define ODEs Deep Neural Network [Physics Informed Machine Learning]
Переглядів 210День тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Find a Full step by step Bootcamp course for "PINNs Tech Bootcamp" in this link www.courses.machinedecision.com/pinns-tech-bootcamp Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inv...
![Lec.3: ODEs Damped Oscillator Exact Solution [Physics Informed Machine Learning]](http://i.ytimg.com/vi/Nh4e7VZ3n60/mqdefault.jpg)
Lec.3: ODEs Damped Oscillator Exact Solution [Physics Informed Machine Learning]
Переглядів 29114 днів тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Find a Full step by step Bootcamp course for "PINNs Tech Bootcamp" in this link www.courses.machinedecision.com/pinns-tech-bootcamp Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inv...
![Lec.2: Neural ODEs Damped Oscillator problem [Physics Informed Machine Learning]](http://i.ytimg.com/vi/9-CvXh0Fibw/mqdefault.jpg)
Lec.2: Neural ODEs Damped Oscillator problem [Physics Informed Machine Learning]
Переглядів 55521 день тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Find a Full step by step Bootcamp course for "PINNs Tech Bootcamp" in this link www.courses.machinedecision.com/pinns-tech-bootcamp Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inv...
Lec.1: PINNs Tech. Free Course (PINNs, iPINNs, Deep Neural Operator)
Переглядів 284Місяць тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Find a Full step by step Bootamp course for "PINNs Tech Bootcamp" in this link www.courses.machinedecision.com/pinns-tech-bootcamp Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inve...
The Wave Equation | Physics | Initial and Boundary Conditions
Переглядів 202Місяць тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Find a Full step by step Bootamp course for "PINNs Tech Bootcamp" in this link www.courses.machinedecision.com/pinns-tech-bootcamp Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inve...
Physics Informed Machine Learning / an Overview of AI and ML in Science and Engineering Simulations
Переглядів 260Місяць тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Mod...
Reinforcement Learning: Built on a Simple Equation
Переглядів 105Місяць тому
#simulation #pinns #engineering #nvidia #machinelearning #technology #games #ai Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus...
3 Useful Applications of PINNs
Переглядів 383Місяць тому
#simulation #pinns #engineering #nvidia #machinelearning #technology Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Mod...
Design with PINNs
Переглядів 2962 місяці тому
Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Modulus: Advanced Topics Machine Learning For Engineering : A-Z
5 Ways AI is Revolutionizing The Logistics Industry
Переглядів 1122 місяці тому
Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Modulus: Advanced Topics Machine Learning For Engineering : A-Z
NVIDIA Modulus: What Else Can It it Do !
Переглядів 2642 місяці тому
Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Modulus: Advanced Topics Machine Learning For Engineering : A-Z
Simulation By Data ONLY: Fourier Neural Operator (FNO)
Переглядів 1,5 тис.3 місяці тому
Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Modulus: Advanced Topics Machine Learning For Engineering : A-Z
How to Start With Nvidia Modulus
Переглядів 8323 місяці тому
Please see our courses in the following link: www.courses.machinedecision.com/ Please visit our website in the following link: www.machinedecision.com/ Physics Informed Neural Networks (PINNs) Inverse Physics Informed Neural Networks (I-PINNs) Simulation By Deep Neural Operator (DeepONets) PINNs Using NVIDIA Modulus NVIDIA Modulus: Advanced Topics Machine Learning For Engineering : A-Z
3 Free libraries for PINNs and its Related Techs
Переглядів 3884 місяці тому
3 Free libraries for PINNs and its Related Techs
What is ! Integer Value Linear Programming
Переглядів 1275 місяців тому
What is ! Integer Value Linear Programming
HOW it Works: Deep Neural Operators (DeepONets)
Переглядів 1,5 тис.7 місяців тому
HOW it Works: Deep Neural Operators (DeepONets)
Simulation By Deep Neural Operators (DeepONet)
Переглядів 6947 місяців тому
Simulation By Deep Neural Operators (DeepONet)
Matching the Installation of (Pytorch + CUDA)
Переглядів 1668 місяців тому
Matching the Installation of (Pytorch CUDA)
Inverse Physics Informed Neural Networks (I-PINNs)
Переглядів 8838 місяців тому
Inverse Physics Informed Neural Networks (I-PINNs)
K Means Clustering (((VS))) Dynamic Time Warping DTW
Переглядів 4238 місяців тому
K Means Clustering (((VS))) Dynamic Time Warping DTW
Unsupervised vs Supervised Machine Learning: Understanding the Key Differences
Переглядів 1439 місяців тому
Unsupervised vs Supervised Machine Learning: Understanding the Key Differences
Physics Informed Neural Networks (PINNs) / Physics Informed Machine Learning
Переглядів 1,9 тис.9 місяців тому
Physics Informed Neural Networks (PINNs) / Physics Informed Machine Learning
Solve Simulation Equations with PINNs: One by One
Переглядів 2,3 тис.9 місяців тому
Solve Simulation Equations with PINNs: One by One
Physics Informed Neural Network (PINNs): Step by Step plan
Переглядів 1,7 тис.10 місяців тому
Physics Informed Neural Network (PINNs): Step by Step plan
helpful
Thank you
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
I would like to thank you so much for your efforts, GOD bless you ♥♥♥
Thank God bless you too. 🌺
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
at 12:35 you are talking about undamped angular frequency, i.e. omega0=sqrt(k/m), omega in the cosine function is omega=sqrt(omega0^2 - delta^2) i.e. damped angular frequency...i am sure you are aware of that, but it should be said/corrected.
Thank you for your comment, I agree but my idea of this is to have a preview to the topic without getting into the how these equations derived just simple intro to use it for exact solution and then solving it with PINNs as our main focus. Thank you
Thank you a lot prof
Glad you like it, Thank you profmaths.
and now i am looking for this kind of course that will solve system of odes using pinns
Thank you very much let's explore PINNs applied on ODEs.
thank you so much i have been watching your videos from last 7 months and i got udemy pinns course that was great
I am glad you liked my course hopefully more topics will come. Thank you for encouragement.
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Thank you for this content sir, It was very useful to me starting from berger's equation video, It would be very helpful if we could know how we can apply autograd here in this 1D system, Thank you again ....
Hi thank you, This series will focus on ODEs yes I think other equations are also important for us to know how to apply PINNs to.
please solve system of ODEs using pinns in future videos
Yes 👍 this is the purpose of this free course solving odes with PINNs, I-PINNs and deep neural operator.
@@Dr.Mohammad_Samara thank you
great job sir
Please subscribe for more
@@Dr.Mohammad_Samara okay sir
Thank you so much for this course I was waiting for it
Glad you like it, please Subscribe.
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
bought them via udemy
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Sir, is it possible for you to offer udemy courses on FDTD & Adjoint based Topology optimization ?
Thank you very much now we are making our platform so yes more courses should be made and proposals should be considered as your kind proposal.
Similar equation I used in my iPINNs project, where I used just position and velocity of a robot to find the coefficient of inertia without any inertial, force, acceleration or torque sensors. Finding Anchor points and configuring the code in DeepXDE was a bit of challenge. Thanks Dr. Samara. You are God sent 😊
That is interesting application of I-PINNs, I am really happy to see things worked out. Thank you very much for your kind comment.
630 / 5,000 Hello Dr.Samara, I am about to defend my master's pre-project in PINN here in Brazil, and I would like to thank you for the teachings and knowledge shared in the course, which were very important and the basis for my studies. I will finish my master's thesis using the DEEPXDE library, as presented in your base course, I would like to know if it is worth transitioning to NVIDIA Modulus in the future. Another question, do you have any tips for when the PINN's PDE shows discontinuity? as conditionals like: Y:x>0 or X<=0? I noticed that the optimizers suffer from this. Anyway, thanks again!
Dear mr.Gyovanne I know you, and I am very happy to see that you finished successfully your masters program, with such challenging topic to get your masters. For the discontinuity problems, in general PINNs behavior can be changed by adding wights to the values of loss you have for example if you see the issue in discontinuity came as a result of the conversation part of the N.S equation you might damb the solution a bit during the early part of the optimization and later change the weight to get a smoother conversation to the solution this is a strong way to control the PINNs behavior but you can do other things such as the data points count increase near the problem area or you can also keep updating the B.C and I.C data count increase to force the conversionce into the direction of solving the problem and avoiding any possible issue. Good luck and hope you the best, I think if you want to continue PhD it will be a good idea to get things progressing in PINNs and research more and know more about these hidden behaviors and applications.
@@Dr.Mohammad_Samara Thank you very much for the response! I will follow your advice! Yes, I am going to pursue my PhD with PINN and other related machine learning techniques applied in the context of physics and engineering fluid mechanics and rheology! We are creating a small research group and contacting other universities to develop this research area here in southern Brazil! I will be back soon to share how things are going here! I have already acquired the your introductory courses on Nvidia Modulus and DeepOnets to expand my range of tools and repertoire! Thanks again and see you soon!!
Thank you very much for your comment, I hope you the best of luck in your PhD it is important jurny in a researchers life and an opportunity to dedicate time and attention to learning and innovation.
In which course you provide this vedio ?
Dear sir please find the following about our courses: Hope you can enjoy our courses in our Podia platform: www.courses.machinedecision.com/
Great presentation! But i think for viewers it is worth noting that one of the most powerful aspects of the FNO is its ability to learn many timesteps. For example one can provide a single input (initial condition) and have the network output a tensor representing all time steps t0 -> t_end As such it would require that you have representative data available for training, whether it be numerically simulated or experimentally gathered. Great talk
Thank you very much for important insight, this video is part of our course about deep neural operator in which we do use the data to build a simulation model using Nvidia Modulus.
beautiful explanation...I gotta present this...this week <3
Good luck for your presentation
@@Dr.Mohammad_Samara now I understand how much effort you put into making those lessons 🤣
@@mayazhussain Thank you, it does take effort, but it is interesting topic.
can we use PINNS on Neumann types conditions?
Need to check... Sorry no direct answer.