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PyTorch Essentials
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Course Content

PyTorch Essentials

PyTorch Essentials

1. PyTorch Basics
What is PyTorch?TensorsTensor Creation FunctionsChallenge: Initializing TensorsCreating Random TensorsChallenge: Initializing Model Weights and BiasesMathematical Operations with TensorsChallenge: Performing Mathematical OperationsWorking with ShapesChallenge: Reshaping Tensors
2. Preparing for Neural Networks
Gradients in PyTorchMulti-Step BackpropagationLinear RegressionChallenge: Implementing Linear RegressionWorking with DatasetsChallenge: Preparing the Iris DataSet
3. Neural Networks
Creating a Simple Neural NetworkTraining the ModelEvaluating the ModelChallenge: Classifying Penguins

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Challenge: Performing Mathematical Operations

Task
test

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  1. Compute the sum of each row in the given tensor and retain the dimensions of the output.
  2. Calculate the mean of each column in the tensor.
  3. Find the maximum value of each row.
  4. Normalize the tensor by dividing each element by the overall sum of the tensor.

Solution

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Section 1. Chapter 8
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book
Challenge: Performing Mathematical Operations

Task
test

Swipe to begin your solution

  1. Compute the sum of each row in the given tensor and retain the dimensions of the output.
  2. Calculate the mean of each column in the tensor.
  3. Find the maximum value of each row.
  4. Normalize the tensor by dividing each element by the overall sum of the tensor.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 8
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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