In this blog post, you will learn how to implement a Pedestrian Detection algorithm using PyTorch. Computer vision is a field of computer science that applies artificial intelligence models to understand, reason with as well as synthesize visual information. This visual information is usually in the form of a two-dimensional
This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] ), but it is focused on creating a
In this Python Pandas tutorial, you will learn the basics of Pandas by code examples written in Python. If you have zero knowledge of Python, please read this article [https://www.data-blogger.com/2017/11/28/python-tutorial-learn-python-one-day/] first. Pandas Tutorial: What is Pandas? Pandas [https://pandas.pydata.org/] is an
Looking for a Python job? This article explains Python interview questions and answers them for you. It explains both some Python coding interview questions but also some non-technical questions. This article also contains Python interview questions and answers for testers which can form a source of inspiration. Slightly related is
Python List Comprehension support is great for creating readable but compact code for representing mathematical ideas. In this blog post, the concept of list, set and dictionary comprehensions are explained and a few examples in Python are given. Maybe slightly different but also interesting is this blog post [https://www.
In this tutorial, you will learn step-by-step how to implement a poker bot in Python. Step 1 – Setup Python and Install Packages First, we need an engine in which we can simulate our poker bot. Install the following package (PyPokerEngine [https://github.com/ishikota/PyPokerEngine]) using pip [https://packaging.python.
MLPs (Multi-Layer Perceptrons) [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] are great for many classification and regression tasks. However, it is hard for MLPs to do classification and regression on sequences. In this Python deep learning tutorial, a GRU is implemented in TensorFlow. Tensorflow is one of the many
You want to build your own Tic-Tac-Toe opponent? Then you need to read further! In the Tic-Tac-AI series, I will present a couple of Artificial Intelligence algorithms implemented as Tic-Tac-Toe opponent. In this first article, I will introduce a method called Forward Sampling which is capable of not losing any