.lazyload-placeholder { display: none; } Tensors are multi-dimensional objects, and the essential data representation block of Deep Learning frameworks such as Tensorflow and PyTorch. A scalar has zero dimensio...Learn More

.lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be use...Learn More

.lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be use...Learn More

Introduction Deep Learning models are very versatile and powerful - they're routinely outperforming humans in narrow tasks, and their generalization power is increasing at a rapid rate. New models are being rel...Learn More

Note: These are the musings of a man - flawed and prone to misjudgement. The point of writing this is to promote a discussion on the topic, not to be right or contrarian. If an...Learn More

Introduction Keras is a high-level API, typically used with the Tensorflow library, and has lowered the barrier to entry for many and democratized the creation of Deep Learning models and systems. When just sta...Learn More

In this short series of guides, we'll be taking a look at a hands-on house price prediction. We'll be using Keras, the deep learning API built on top of TensorFlow to train a neural network to predict the price...Learn More

Introduction Scikit-Learn is one of the most widely-used Machine Learning library in Python. It's optimized and efficient - and its high-level API is simple and easy to use. Scikit-Learn has a plethora of conve...Learn More

Introduction In this guide, we'll dive into a dimensionality reduction, data embedding and data visualization technique known as Multidimensional Scaling (MDS). We'll be utilizing Scikit-Learn to perform Mult...Learn More

Introduction In this guide, we'll be taking a look at an unsupervised learning model, known as a Self-Organizing Map (SOM), as well as its implementation in Python. We'll be using an RGB Color example to train ...Learn More

Introduction This guide is an in-depth introduction to an unsupervised dimensionality reduction technique called Random Projections. A Random Projection can be used to reduce the complexity and size of data, ma...Learn More

Minimax with Alpha-Beta Pruning in Python Introduction Way back in the late 1920s John Von Neumann established the main problem in game theory that has remained relevant still today: Players s1, s2, ..., sn ar...Learn More