From this article, you will learn how to play Super Mario Bros with Deep Q-Network and Double Deep Q-Network (with code!). Super Mario Bros is a well-known video game title developed and published by Nintendo in the 1980s. It is one of the classical game titles that lived through the years and need no explanations. It is a 2D side-scrolling game, allowing the player to control the main character -- Mario. The gameplay involves moving Mario from left to right, surviving the villains, getting coins, and reaching the flag to clear stages.

Welcome to the ultimate online course on Python for Computer Vision! This course is your best resource for learning how to use the Python programming language for Computer Vision. We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data. The most popular platforms in the world are generating never before seen amounts of image and video data. Now more than ever it's necessary for developers to gain the necessary skills to work with image and video data using computer vision.

Artificial Intelligence is reining the tech-driven era with its innovative cutting-edge technologies worldwide. Several science students are showing more interest in the vast field of Artificial Intelligence than the traditional five Engineering courses. The students are eager to learn more about Artificial Intelligence and its various categories to serve reputed companies for the welfare of society. Multiple eminent universities and institutes are offering admissions for Masters in Artificial Intelligence online due to the ongoing coronavirus pandemic. Interested students are not required to visit the campus when they can complete the programme through a laptop and a smooth internet connection at home.

Mark your calendar: The Qiskit Global Summer School is back, July 12-23, 2021! Last year, the IBM Quantum team made history by hosting a free, virtual quantum computing crash course for over 4,000 learners. This year, we're hoping to host another 4,000 students -- now with a focus on quantum machine learning (QML). This year's Qiskit Global Summer School will feature two weeks of live lectures and hands-on laboratory sessions where students can apply what they've learned using Qiskit code using the new Qiskit machine learning application module. Lectures will begin with an introduction to quantum computing and simple quantum algorithms, before diving into the foundations of classical machine learning and understanding how these concepts translate to quantum computing.

This course introduces machine learning covering the three main techniques used in industry: regression, classification, and clustering. It is designed to be self-contained, easy to approach, and fast to assimilate. The course is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes labs with hands-on exercises and solutions. You can run the code on Google CoLab and get started right away.

Welcome to the best Natural Language Processing course on the Udemy! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language. In the course we will cover everything you need to learn in order to become a world class practitioner of NLP with Python. We'll start off with the basics, learning how to open and work with text, as well as learning how to use regular expressions to search for custom patterns inside of text files. Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra fast tokenization, parsing, entity recognition, and lemmatization of text.

This virtual seminar, hosted by the RAeS Weapon Systems and Technology Specialist Group, will examine current understanding of Artificial Intelligence (AI), how it is presently used, and crucially, how it may be used in weapon systems in the future. The seminar will address the perceived challenges that AI brings and will also look at the ethical issues and where the boundaries of AI may lay. Our speakers are leading experts in this field and this seminar offers a unique opportunity to understand some of the advances in this field of science that is new to many in the weapons community. The seminar aims to generate discussion and debate between the speakers and the audience with the objective of better understanding the issues that the use of AI brings and to identify possible solutions. Strategic / Threat Analysts; Intelligence and Security professionals; Futures Researchers; Policy Advisors; those working in Cyber, Scientific, Technical fields; Defence Industry and Government Officials, those working in Academia and Think Tanks; those with an interest in AI in the Weapons and Technology domain.

To help you fast track your company's adoption of machine learning (ML), AWS offers educational solutions for developers to get hands-on experience. We like to think of these programs as a fun way for developers to build their skills using ML technologies in real world scenarios. In this post, we walk you through how to prepare for and run an AI music competition using AWS DeepComposer. Through AWS DeepComposer, you can experience Generative AI in action and learn how to harness the latest in ML and AI. We provide an end-to-end kit that contains tools, techniques, processes, and best practices to run the event. Designed specifically to educate developers on generative AI, AWS DeepComposer includes tutorials, sample code, and training data in an immersive platform that can be used to build ML models with music as the medium of instruction. Developers, regardless of their background in ML or music, can get started with applying AI techniques including Generative Adversarial Networks (GANs), Autoregressive Convolutional Neural Networks (AR-CNN) and Transformers to generate new musical notes and accompaniments.

Most students try learning Python from several different resources and eventually lose their interest and sabotage their progress. If you are a complete beginner in Python, DO NOT WORRY because this course would help you learn everything you need to know in less then a week. We have consciously sculpted the course for absolute Python beginners to make the learning curve smooth for you. Programming is not just about the basics. This is the biggest picture that most people fail to see.

In this 2 hour-long project-based course, you will learn to implement neural style transfer using PyTorch. Neural Style Transfer is an optimization technique used to take a content and a style image and blend them together so the output image looks like the content image but painted in the style of the style image. We will create artistic style image using content and given style image. We will compute the content and style loss function. We will minimize this loss function using optimization techniques to get an artistic style image that retains content features and style features.