Customized Caffe for pseudo-random dropout
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Updated
Jan 4, 2018 - C++
Customized Caffe for pseudo-random dropout
Implementation of DropBlock: A regularization method for convolutional networks in Caffe.
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
Lab Sessions of the Deep Learning course - Master's degree in Artificial Intelligence at UniBo
Digitally recognizing numbers in real life images has been a tough problem in artificial intelligence for many decades. The problem stems from the seemingly endless variations on fonts, colors, spacings, locations etc that these numbers can take within an image.
A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.
Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions.
Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting
Neural Network aided diagnosis of Schizophrenia via patient-centered text Data
Manual pure scratch code of Convolution-Pooling-Dropout
Keras Convolutianl Networks
Using Keras to build a deep neural network for bladder cancer progression
Pyhton projects on various topics
Distinguish bees from wasps
Tomato Leaf Disease Detection:Deep Learning Project
Simple convolutional neural network (purely numpy) to classify the original MNIST dataset. My first project with a convnet. 🖼
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