GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

License Plate Recognition based on CNN/Deep Learning

Image similarity using Triplet Loss

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

Extract and solve sudoku from an image using Computer Vision and Deep Learning

A Deep Learning application to recognize emotion from facial expressions.

A foreign exchange trading bot with quite some personalities, utilizing CNN + DQN with persona-driven adjustments.

This repository is containing an object classification & localization project for SINGLE object.

This Repository contains the resources for the Image Captioning workshop conducted by GAWDS

Tensorflow implementation of music-genres-classification with InceptionResnetV2

ConvNet (CNN) implementation to classify x-ray medical images

Color the black and white picture with tensorflow

fine tuning vgg16 and inception v3

Text Classification using Convolution Neural Nets with Tensorflow

An introduction to Deep learning and it's algorithms in python-TensorFlow

Implementation of Convolutional Neural Networks in Tensorflow on the Mnist Handwritten Digits dataset

Tensorflow framework to make the CNN- Predict the more accurate values from test dataset

This repository demonstrates a real world case study.The aim of this project is to create a model to predict the correct steering angle from the given test image of the road. Here, our loss is Mean Squared Error(MSE). Our goal is to reduce the MSE error as low as possible.

Implementations of Linear & Logistic Regression, Neural Networks from scratch.

This project aims to classify the images in the given dataset as cats or dogs using convolutional neural network(CNN)

This project is the retrained version from my bachelor thesis project.

Artificial Intelligence: Convolution Neural Network (CNN) | Programming Language: PYTHON | Main Library: Keras

Attempt at making a simple OCR tutorial by using Tensorflow and OpenCV in Python3

In this repository I have used TensorFlow to create various user defined Neural Networks like Fully Connected Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks

Image classification using Convolutional Neural Networks (dataset: CIFAR-10)

Companion repo to all codes referenced in my Medium Articles

My foray into the Coursera tensorflow specialization, working with BigQuery, GCP and TF2 with TPU's

This repo is about developing convolutional neural networks using MNIST dataset. I have used google colab to develop and test this performance of the model.