lermaio.blogg.se - Quickdraw withgoogle com download

Quick, Draw! is a game that was created in 2016 to educate the public in a playful way about how AI works. The idea and the dataset of our project is extracted from Quick, Draw! Doodle Recognition Challenge.

Quick, Draw! Doodle Recognition Challenge Having said that, the technical goal of our project is to implement from scratch three different Deep Learning architectures of increasing difficulty (Multilayer Perceptron, Convolutional Neural Network and Long-Short Term Memory) that tackled in a different way a classification problem extracted from an ongoing Kaggle competition, and create for each model a self-contained and detailed Notebook that alternates text with code. Towards this goal, we have resolved a classification task that has allowed us to comprehend and perform all the steps of the pipeline of a Deep Learning project.

We conceived this project as a way to deeply understand the concepts and implementations of various Deep Learning models studied in the course, for the majority of us are new to this fascinating world of Deep Learning. The (closed) leaderboard for this task is available here.Ī data point comprises a drawing and its metadata.Deep Learning for Artificial Intelligence Project | 2018-dlai-team10 2018-dlai-team10 View on GitHub Deep Learning for Artificial Intelligence Project

image-classification: The goal of this task is to classify a given sketch into one of 345 classes.

The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located. The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!.