Course Content
PyTorch Essentials
PyTorch Essentials
Challenge: Initializing Model Weights and Biases
Task
Swipe to begin your solution
You are tasked with creating random tensors to initialize weights and biases for a simple neural network.
- Ensure reproducibility by setting a manual seed to an arbitrary number before generating the tensors.
- Create a
3x4
tensor filled with random values from a uniform distribution between0
and1
(weights for the first layer). - Create a
1x4
tensor filled with zeros (biases for the first layer). - Create a
4x2
tensor with random integers between-5
and5
(weights for the second layer).
Note
Initializing weights with random integers is not recommended in practice; this approach is used here solely for the purpose of this task.
Solution
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Everything was clear?
Thanks for your feedback!
Section 1. Chapter 6
Challenge: Initializing Model Weights and Biases
Task
Swipe to begin your solution
You are tasked with creating random tensors to initialize weights and biases for a simple neural network.
- Ensure reproducibility by setting a manual seed to an arbitrary number before generating the tensors.
- Create a
3x4
tensor filled with random values from a uniform distribution between0
and1
(weights for the first layer). - Create a
1x4
tensor filled with zeros (biases for the first layer). - Create a
4x2
tensor with random integers between-5
and5
(weights for the second layer).
Note
Initializing weights with random integers is not recommended in practice; this approach is used here solely for the purpose of this task.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?
Thanks for your feedback!
Section 1. Chapter 6
Switch to desktop for real-world practiceContinue from where you are using one of the options below