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zakruti.com » IT - Software » freeCodeCamp.org
Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 of 6)

Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 of 6)

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Rating: 4.0; Vote: 1
This video covers the basic concepts in PyTorch viz. tensors & gradients, and walks through the process of implementing linear regression and gradient descent - the foundational algorithms in machine learning. Resources: - PyTorch Basics: https://jovian.ml/aakashns/01-pytorch-basics - Linear Regression: https://jovian.ml/aakashns/02-linear-regression - Machine Learning Intro: https://jovian.ml/aakashns/machine-learning-intro - Discussion forum: https://jovian.ml/forum/t/lecture-1-pytorch-basics-linear-regression/1541 - Programming Assignment: https://jovian.ml/forum/t/assignment-1-all-about-torch-tensor/1559 Topics covered: -- Introduction to Machine Learning & Deep Learning -- PyTorch Basics: Tensors, Gradients & Autograd -- Linear Regression and gradient descent from scratch using Tensor operations -- Linear Regression using PyTorch built-ins (nn.Linear, nn.functional etc.)
Date: 2022-03-14

Comments and reviews: 10


-1:44.. the idea of having Floating point Weights is to find the Local minima of the Gradient Equation along with learning rate tuning as well , if the gradients is in integers the steps taken by the Gradient equation during epoch is large , may end up in loosing momentum to find global minima . to optimize the objective function along with learning rate , batch processing, momentum are needed to better perform the objective function i.e., Linear regression in turn results in good prediction model
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sir,
I came to know about this course just today,can i join from now?
as i already have experience in deep learning from coursera but i want some hand on experience with pytorch,
i already filled the google form and joined in the community in jovian what else i have to do in order to be a part of it?

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At 1:19:30, it is said that if the derivative is negative decreasing the weight will increase the loss but at 1:28:00 the weight is only decreased (w -= w.grad - 1e -5) despite the fact that the derivative is negative. I am confused here. Kindly clear this point.
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At 1:24:11, if I replace
w-= w.grad-1e-5
by
w = w - w.grad-1e-5
.. and similarly for updating b
I get an error then at w.grad.zero_()
AttributeError: 'NoneType' object has no attribute 'zero_'
Any hints or comments on this?

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Good day
I am interested in learning artificial intelligence I have already watched your Python Data science which of your video should I watch next on path of learning artificial intelligence.
Thank you while awaiting your reply.

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I have just started following the course on YouTube. I am interested to pursue it further for a certification. Can I please continue with the assignments and lectures to be eligible for the certificate at the end of this course?
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hey can anyone help me how i can use pytorch in jupyter?
i downloaded using pip in my command prompt but when i'm trying to import in jupyter it is showing no module found

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Dear Sir! When will be the next certification course?, because we are ( lot of us) was late. For me will be really important, thank u in advance for your answer
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how to plot that graph in which you explained us the gradient etc.
if this is something u r going to teach in future kindly let me know..
Thanks :)

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You're actually a good teacher. feeling satisfied after learning from actual patient teacher and not just a random youtuber :-)
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