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Learning with Signatures

Experiments on cluttered mnist dataset with Tensorflow.

Derin Öğrenme kullanarak el yazısıyla yazılmış rakamları tanımak için yazılmış bir Flask uygulamasıdır.

Learning deep learning 😎 and neuroevolution 👾 ⭐

Kakiburi is a dataset of computer generated japanese characters (60x60 grayscale, 382,878 images).

Draw random shape on HTML5 canvas and let Deep ConvNet predict it.

MNIST demo with canvas hand-written digit

Canvas to JSON, using Tensorflow & MNIST to predict digit

python | deep learning | neural networks

FL-Interactive-Game: Interactive web game that teaches basic components of Federated Learning

Neural network classifier to classify fashion MNIST from scratch. All the calculation are done using NumPy library.

Generative Adverserial Network for face generation using Tensorflow and DCGAN architecture

Holds code written for MATH 384: Algorithms for Decision-Making at St. Olaf College

Django + DRF + JavaScript (Angular or React) + Machine Learning + Anaconda

Testing submission of AWS batch jobs using BoTorch (via Ax) and TorchX for neural architecture search

Using generative adversarial networks to generate new images of faces (datasets: MNIST, CelebA).

Generazione di Immagini Avversariali in Tensorflow

Our project builds a Convolutional Neural Network (CNN) model to accurately classify handwritten digits from the MNIST dataset. We preprocess the data and design a CNN architecture. Additionally, we create a user-friendly web interface using Flask for easy digit classification.

Project 2: Udacity Deep Learning Image classification