A CNN that tries to accurately predict the correct values of any digit between 0-9 using Tensorflow, keras and flask.
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (...
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Pyt...
Learned how Neural Networks, Multi-Layer Perceptron and Convolutional Neural Networks are used fo...
building a machine learning model to classify handwritten digits using the MNIST dataset.
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentat...
Binary Image Classification in TensorFlow
Handwriting Recognition Software (Python/AI/kivy)
Optical character recognition Using Deep Learning
Handwritten Digit Recognition using Machine Learning and Deep Learning
Computer Vision Case Study in image recognition to classify an image to a binary class, based on ...
Exploring mnist dataset with TensorFlow and getting 99% accuracy in tests
Classify a given image of handwritten digit into one of the 10 classes representing integer value...
Image Captcha Solving Using TensorFlow and CNN Model,with self-labeling image Dataset crawled fro...