TensorFlow in Practice Specialization
-
Updated
Apr 7, 2020 - Jupyter Notebook
TensorFlow in Practice Specialization
Examples of using Keras word embedding to perform sentiment analysis on IMDB and Reuters datasets.
A recurrent neural network implementation with attention to convert human readable dates ("20th April 2000") to machine readable dates ("2000-04-20")
A tensorflow.js Rock-Paper-Scissors Model running on a Flask server
This is a repository for the code and various numpy files that going along with the face recognition project.
Models and examples built with TensorFlow
CIFAR-10 classification solved with 90% validation accuracy using DenseNet in 50 epochs
Attention mechanism Implementation for Keras.
An implementation of Neural Style Transfer in Keras
various deep learning models in python
In this project, my code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .
Hierarchical Attention Neural Network For Fake News Detection
In this git you can find the dataset preprocessing and handling.
A beginners friendly guide for neural network. Implementing a random disease prediction under some given condition.
Modeling deep learning methodologies
Using Keras and Deep Q-Network to Play FlappyBird
Image classification (https://picnic.devpost.com)
Add a description, image, and links to the keras-implementations topic page so that developers can more easily learn about it.
To associate your repository with the keras-implementations topic, visit your repo's landing page and select "manage topics."