Deep learning library featuring a higher-level API for TensorFlow.
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Updated
May 6, 2024 - Python
Deep learning library featuring a higher-level API for TensorFlow.
Real-time Facial Emotion Detection using deep learning
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
lock mechanism with face recognition and liveness detection
Automated Driving in NFS using CNN.
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.
Real time licence plate recognition system
An AI chatbot with features like conversation through voice, fetching events from Google calendar, make notes, or searching a query on Google.
Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).
Draw and classify digits (0-9) in a browser using machine learning
A convolutional autoencoder made in TFLearn.
Image recognition and classification using Convolutional Neural Networks with TensorFlow
This is a repository of implementations of deep learning papers, along with mini projects and experiments.
The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).
TFLearn Implementation of DeXpression architecture. Batch normalization is used instead of LRN. Gives a precision of 99.3 percent, recall of 99.2 percent and f1-score of 99.2 percent on CKPlus Dataset for human emotion recognition from frontal facial images.
A neural networks based snake game
The system uses Convolutional Neural Network for extracting features in the training phase of the warning system.
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