Conteúdo do Curso
PyTorch Essentials
PyTorch Essentials
1. PyTorch Introduction
What is PyTorch?Introduction to TensorsTensor Creation FunctionsChallenge: Initializing TensorsCreating Random TensorsChallenge: Initializing Model Weights and BiasesMathematical Operations with TensorsChallenge: Performing Mathematical OperationsShapes and Dimensions in PyTorchChallenge: Reshaping Tensors
3. Neural Networks in PyTorch
Challenge: Initializing Model Weights and Biases
Tarefa
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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
3x4tensor filled with random values from a uniform distribution between0and1(weights for the first layer). - Create a
1x4tensor filled with zeros (biases for the first layer). - Create a
4x2tensor with random integers between-5and5(weights for the second layer).
Solução
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Seção 1. Capítulo 6
Challenge: Initializing Model Weights and Biases
Tarefa
Swipe to start coding
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
3x4tensor filled with random values from a uniform distribution between0and1(weights for the first layer). - Create a
1x4tensor filled with zeros (biases for the first layer). - Create a
4x2tensor with random integers between-5and5(weights for the second layer).
Solução
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoTudo estava claro?
Obrigado pelo seu feedback!
Seção 1. Capítulo 6
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo