Practice Building And Training Simple Mlps With Tensorflow/keras (11.6.3) - Introduction to Deep Learning (Weeks 11)
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Building and Training Simple MLPs with TensorFlow/Keras

Practice - Building and Training Simple MLPs with TensorFlow/Keras

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What libraries do we import in TensorFlow for building MLPs?

💡 Hint: Think about the components used in model building.

Question 2 Easy

What does Dense refer to in Keras?

💡 Hint: Consider how neurons are structured within a layer.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is Keras?

A type of neural network
A high-level API for neural networks
A machine learning dataset

💡 Hint: It is commonly used with TensorFlow.

Question 2

True or False: An epoch is a single pass through the training data.

True
False

💡 Hint: Consider how many times the model sees the data.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Describe a situation where you would prefer using Keras's Functional API over the Sequential API. What advantages does it offer?

💡 Hint: Think about scenarios that involve branching or merging models.

Challenge 2 Hard

Given a dataset with both structured and unstructured data, outline the steps you would take to prepare, build, and train a MLP model using TensorFlow/Keras.

💡 Hint: Consider how mixed data types might influence feature engineering.

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Reference links

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