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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: Preparing the Iris DataSet

Task
test

Swipe to begin your solution

  1. Create a TensorDataset.
  2. Wrap the TensorDataset in a DataLoader with a batch size of 32 and shuffling enabled.

Solution

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Section 2. Chapter 6
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book
Challenge: Preparing the Iris DataSet

Task
test

Swipe to begin your solution

  1. Create a TensorDataset.
  2. Wrap the TensorDataset in a DataLoader with a batch size of 32 and shuffling enabled.

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 2. Chapter 6
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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