Quiz and summary
Contents
10.4. Quiz and summary¶
10.4.1. Quiz¶
Complete Quiz 10 to check your understanding of this topic. If you can score at least 50%, you are considered as having passed.
10.4.2. Summary¶
In this topic, you learnt :
The concept of deep learning and how it is different from traditional machine learning.
How to understand and build Multilayer neural networks using PyTorch.
How to build inductive biases into your deep neural networks, using convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
10.4.3. References and further reading¶
This material is based on the following resources:
The hundred-page machine learning book by Andriy Burkov [Burkov, 2019].
The one neuron notebooks by Colin Bernet.
The PyTorch tutorial Training a classifier.
The PyTorch tutorial Classifying Names with a Character-Level RNN with some modifications.
Lab 6: Logistic Regression & PyTorch for Deep Learning of our earlier course.
Lab 7: Convolutional Neural Networks for Image Classification of our earlier course.
The SimplyDeep notebooks.