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Okay PyTorch New Tweets Update: Can't do more that 10 tweets in one sitting. We will be looking into matrix in the upcoming Tweets.
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PyTorch Tweet No. 8

Vector Dimension:
ndim can be used for vectors as well. The easiest way to figure out the dimensions of a tensor having vector data is the check the number square brackets [ ]

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PyTorch Tweet No. 9

Vector Shape:
shape can be used for figuring the size of the vector as well.

In this case vector has 2*1 elements so its 2
We will see more insight after going into more dimensions using matrix

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PyTorch Tweet No. 7

Vectors: We have dealed with scalars already now lets observe vector. Lets create one first and then we will learn most of its other properties.
This is a simple vector will dive into the multiverse of it soon

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PyTorch Tweet No. 6

What if we want the original value of the tensor we created.
item() - Upon using this with a tensor it will give us the original items inside the tensor rather that returning the tensor itself.

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PyTorch Tweet No.4

Tensors: They are simply a mathematical component like scalar or vector. Mostly our datas are stored as tensor, and we perform calculations on tensor.

This is a simple tensor we create.
We call it a "Scalar"

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PyTorch Tweet No. 5

Dimension of a Scalar
ndim: It allows us to see the dimensions of a scalar. We are not into serious stuff here. We will see tensors will dimensions eventually.

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PyTorch Tweet No.3

I think this is pretty self explanatory. Import Torch to get all of it functtionalities. In future we will be looking to create a set of tensors and how to manipulate them The version of torch i have used in 2.0.1
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PyTorch Tweet No.1

Start with the installtion of all these essential libraries. Most of them are quite familiar if you have done ML before 'torch' and 'torchvision' are new here.

We will take it slow
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PyTorch Tweet No.2

Use a very flexible IDE or workspace. Google Colab or Jupyter Notebook is my most recommened one. While studying Pytorch I have used Jupyter Notebook in my case. Should Look something like this.
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Me trying to debug #Swift code compiled from my #flutter project.

Nothing quite like diving into the #ML deep-end for your first project.

I guess getting your ass handed to you on the daily is the best way to learn?

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@fake_Awareness @deanna_stilson @NancyELanier1 @Eminem Seems to me you do single out people. People that intimidate you. Cause it can't be because you know me. Or I know it's because I'm obsessed right. Take a look in the mirror and you'll see the person looking back at you is the obsessed one.
We can now simulate aging in a realistic way using diffusion models, not perfect yet, but it's getting there, you can try it out at: faceshape.com/aging.

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When will 5G be mainstream so I can create 2GB app bundles without it being frowned upon 🥴😂

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