Small Image Processing Scripts in native C, using libjpeg
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Updated
Mar 31, 2018 - C
Small Image Processing Scripts in native C, using libjpeg
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
Building a convolutional neural network to classify traffic sign images using Keras
Beta version of the ML curriculum
Hands on practice courses about machine learning framework TensorFlow provided by Coursera. In this project, Tensorflow is implemented on MLP, CNN, NLP and Sequence Time Series & Prediction.
A neural network for image segmentation of cardiovascular anatomies. MOVED to AIS Training Codeset, Jan 3, 2020.
A classification model implemented using Deep Neural Networks
Understanding how CNNs can be implemented on a TPU
Projects done for Tensoflow Developer Professional Certification that DeepLearning.ai offers.
1D Convolution Interactive Visualization build with d3.js
A lightweight deep learning framework
A Pytorch implementation of the paper "Going deeper with convolutions" by Szegedy et. al. 2014
Create a convolutional layer from scratch in python, hack its weights with custom kernels, and verify that its results match what pytorch produces.
Covering all aspects of Laplace Transforms that could be covered in a first semester Differential Equations curriculum.
Signal Analysis projects and a final project involving the generation of echo in sound waves using Matlab
Transfer Learning, Convolutions, and Object Localisation in Keras
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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