In this post, I expand on a little class/self-teaching project that I did during the Spring 2020 semester.

NumPy-Learn: A Homemade Machine Learning Library

Organization

In this section we will discuss the main organization of the library:

• How the layers are built
• How loss functions work
• How a stochastic …

In this post, I briefly describe my experience in setting up training with PyTorch.

Introduction

PyTorch is an extremely useful and convenient framework for deep learning. When it comes to working on a deep learning project, I am more comfortable with PyTorch rather than TensorFlow.

In this quick post, I …

Lately, I have been reading more papers on modern advances in deep learning in order to get a clear view of what problem I want to focus on during my PhD research.

There is a lot of information to process and an incredible amount of papers are being published from …

I implement an interesting result from a recent paper on convolutional neural networks.

Introduction

In this post I will briefly discuss my implementation of a model introduced in this paper.

In short, the authors suggest using predefined filters in a convolutional network based on Discrete Cosine Transform.

I used PyTorch …