Deep Learning and Neural Networks
Deep Learning and Neural Networks explainers and exam-revision guides from Full Marks Press.
Activation functions compared: ReLU, Sigmoid and Tanh
Activation functions introduce non-linear properties to neural networks, allowing them to learn complex patterns rather than just computing linear transforma
How do convolutional neural networks actually work?
Convolutional neural networks (CNNs) work by sliding small grids of weights, called filters, over input data to detect local patterns like edges, textures, a
How to answer exam questions on deep learning architectures
To answer exam questions on deep learning architectures correctly, you must match the specific data type and problem domain to the mathematical mechanics of
How to structure a deep learning essay for postgraduate modules
To structure a deep learning essay for a postgraduate module, you must explicitly divide your answer into problem definition, architectural justification, tr
Recurrent neural networks vs feedforward networks: key exam differences
The primary difference between a recurrent neural network and a feedforward neural network is how information flows through the architecture. Feedforward net
What are the common pitfalls when training neural networks?
The most common pitfalls when training neural networks are overfitting to the training data, choosing an inappropriate learning rate, and encountering vanish
What is backpropagation and how do you calculate it in an exam?
Backpropagation is the algorithm used to train neural networks by calculating the gradient of the loss function with respect to each individual weight and bi
Frequently asked questions
What does the Deep Learning and Neural Networks category cover?
It collects exam-focused Deep Learning and Neural Networks explainers and revision guides from Full Marks Press, written for university students.
Who writes these Deep Learning and Neural Networks guides?
Every article is written by Sotiris Spyrou, published by Full Marks Press.
Are these guides free?
Yes. Every article is free to read, and you can request a free review copy of the related guide at https://fullmarkspress.com/free.