Training a model to classify the simpsons character on the image using model from canaro, dataset with simpsons characters from kaggle.

WWI19A project - Recognising images of popular Simpsons characters using a Convolutional Neural Network

Making use of Recurrent Neural Networks (RNNs), the aim was to create a new Simpson’s TV script at Moe’s Tavern. I’ve used a part of Simpson’s dataset of scripts from 27 seasons.

Study that evaluates two CNN architectures for the Simpsons classification problem: Model 1 with 4 convolutional blocks and 1024 neurons, and Model 2, a simplified Xception model, emphasizing edge detection for well-defined images.

Both the slides and demos of my session "Deep learning from zero to hero" (in italian language) at AI&ML Conference 2019

Here I have written a model and a pre-trained model for a classification task.

This RNN learns and writes Simpsons scripts (P3 - DLND)

Use of RNNs to build a TV script using 'Simpsons by the data' dataset from Kaggle

Scraping The Simpsons Transcripts with R

Udacity TV Script Generation Project

GANs and Diffusion models for the generation of Simpsons faces and MNIST numbers.

Simpsons Characters object detection using tensoflow object detection api

DCGAN Simpsons Faces Image Generator usging Tensorflow2 Alpha 🖼️.

📁 A small MNIST-like The Simpsons character database to at least have some fun while training neural networks.

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

DCGAN image generator 🖼️.