TensorFlow in Practice Specialization
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Updated
Apr 7, 2020 - Jupyter Notebook
TensorFlow in Practice Specialization
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
Saves models in HDF5 FORMAT used in Keras and also TensorflowSavedModels
This is a repository for the code and various numpy files that going along with the face recognition project.
Original Keras implementation of the code for the paper "Client-driven animated GIF generation framework using an acoustic feature," at 1171: Real-time 2D/3D Image Processing with Deep Learning (MTAP)
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
Built a convolutional neural network to detect visual symptoms of medical conditions in eye images, along with a Flask application allowing users to upload their own pictures and receive real-time predictions
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
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