DCGAN image generator 🖼️.

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

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

DCGAN Simpsons Faces Image Generator usging Tensorflow2 Alpha 🖼️.

Simpsons Characters object detection using tensoflow object detection api

GANs and diffusion models for Simpsons and MNIST generation.

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.

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

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.

Scraping The Simpsons Transcripts with R

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

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.

Udacity TV Script Generation Project