in this simple python application yo can select and upload your image and it tell you which celebrity you are most like
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Updated
Jan 28, 2023 - Jupyter Notebook
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
in this simple python application yo can select and upload your image and it tell you which celebrity you are most like
Augmenting the image data using Keras. A utility class ImageDataGenerator from Keras is used and performed different augmenting techniques. Computer vision library OpenCV is also used.
image preprocessing applied to Keras dataset generator which is trainable in Tensorflow Keras model and its visualisation to check input image.
This is a simple classifier to classifying Cat vs Dog pictures with keras (Tensorflow)
Resources for Designing and Utilizing Neural Networks
Trains the flowers dataset to predict the class of 5 different flowers
build a regression model using the deep learning Keras library, and then experiment with increasing the number of training epochs and changing number of hidden layers and see how changing these parameters impacts the model's performance.
This is a very Simple CAPTCHA Recognition model written in python with Keras and Tensorflow
This repository contains the implementation of various popular deep learning models from scratch in TensorFlow/Keras. The models implemented here are ResNet50, MobileNet, AlexNet, and InceptionNet
OCR from scratch using Chars74 Dataset: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.
In this notebook, we will build a simple three-layer feed-forward neural network model using Keras, running on top of TensorFlow
My reference article is: An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network and Convolutional neural network written by Meha Desai, Manan Shah
Robust T-Loss for Medical Image Segmentation with TensorFlow backend
👄 speedy text generation with an LSTM RNN in keras
Keras for Tensorflow 2023
Numpy is a library of Python as Keras, Jupyter, Tkinter or Matpolib
Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
Using Keras' Stable Diffusion for generating city images using coordinates and a live weather API. (Keras Community Prize Winner 2022)
a project involving Deep Q-Networks (DQN) and Reinforcement Learning (RL) using Gym and Gridworld API
Created by François Chollet
Released March 27, 2015