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Mohd Fitri Alif Bin Mohd Kasai's Projects

-convolutional-neural-network icon -convolutional-neural-network

This is a convolutional neural network trained with more than 15,000 dogs and cat images respectively. I have built this network three layers deep, giving an accuracy of 86%.

3dcnn icon 3dcnn

3D convolutional neural network for video classification

4-simple-steps-in-builiding-ocr icon 4-simple-steps-in-builiding-ocr

Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. Keras Deep learning Network is used at here in recognising the Text characters and OpenCV is used in segmenting the text and Noise normalization.

abide icon abide

ABIDE Preprocessed Initiative

abide-1 icon abide-1

Scripts related to preprocessing the ABIDE dataset and generating relevant derivatives

action-units-heatmaps icon action-units-heatmaps

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

adabound icon adabound

An optimizer that trains as fast as Adam and as good as SGD.

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

adapting-c3d-keras icon adapting-c3d-keras

An example of how to adapt the C3D CNN for another problem. Really a fork of https://github.com/axon-research/c3d-keras

afew2016 icon afew2016

Facial Expression Recognition in the Wild 2016

ai icon ai

Repo for work for AI Survey

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