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Detalhe da Disciplina
Curso: Pós - Graduação em Enterprise Data Science and Analytics
Unidade curricular: Deep Learning Neural Networks
Semestre: Outono
Número de créditos: 4,0
Docentes: 
Mauro Castelli
 (Docente responsável)

Número de horas de aula por semana: 1.00
Objetivos da unidade curricular:

- Understand the design principles of neural networks;
- Understand the concept of activation function;
- Understand the backpropagation algorithm for training a neural network;
- Being able to build a neural network to solve classification tasks;
- Being able to use Keras or similar libraries to build a Neural Network;
- Understand the convolution operator and the idea behind convolutional neural network;
- Understand the main principles of recurrent neural network;
- Understand LSTM and how they can be applied to counteract vanishing gradient problem.
- Being able to apply one of the deep model presented to solve classification or regression tasks.

Requisitos de frequência:

NA

Língua de ensino: Português. Em caso de existirem alunos ou professores estrangeiros, as aulas serão dadas em Inglês.

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