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Developing-new-technique-for-Sentiment-Analysis-using-Combining-Capsule-Networks
This notebook introduces and implements a Combined Capsule Network in Keras and evaluates its performance for Sentiment Analysis on IMDB Dataset. The developed architecture is presented below.Sign-Language-Recognition-from-Hand-Gestures-using-Capsule-Networks
Sign Language Recognition from Hand Gestures using Capsule NetworksDetection-of-Parkinson-s-disease-with-the-images-of-Spiral-Wave-using-fast.ai
The diagnosis of Parkinson's disease in hand-drawn images of spirals and waves with fast.ai and deep learning techniques.Awesome-Visual-Question-Answering-VQA
A reading list (and code) of resources dedicated to visual question answering.ResNet-Layers-Visualization
Trains a ResNet on the CIFAR10 dataset - Visualizing Intermediate Layer ActivationsCNN-with-different-kernel-size-for-sentence-classification
Convolutional Neural Network (CNN) with different kernel size for sentence classificationAnimation-with-Plotly
Animation with PlotlyPython-Matplotlib-Basics
Matplotlib is a very powerful plotting library useful for those working with Python and NumPy. The most used module of Matplotib is Pyplot which provides an interface like MATLAB but instead, it uses Python and it is open source. This tutorial presents basic knowledge about Matplotlib.Python-Programming-for-Data-Science-Cheat-Sheet
Python Programming A-Z: Cheat SheetSide-Output-Fusion-Convolutional-Neural-Network-CNN
The deep learning architecture, called Side Output Fusion Network, classifies the feature map obtained by combining low-level, mid-level and high-level information from each convolution layer. Feature fusion positively affects the results.Python-NumPy-Basics
The NumPy library is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays. This document provides basic information about Numpy.Love Open Source and this site? Check out how you can help us