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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.

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.

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Sign-Language-Recognition-from-Hand-Gestures-using-Capsule-Networks

Sign Language Recognition from Hand Gestures using Capsule Networks

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Detection-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.

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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 Activations

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CNN-with-different-kernel-size-for-sentence-classification

Convolutional Neural Network (CNN) with different kernel size for sentence classification

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Animation-with-Plotly

Animation with Plotly

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Python-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.

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Python-Programming-for-Data-Science-Cheat-Sheet

Python Programming A-Z: Cheat Sheet

Side-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.

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Python-Pandas-Basics

This tutorial has been prepared for those who seek to learn the basics and various functions of Pandas. It will be specifically useful for people working with data cleansing and analysis

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m-peker/Python-NumPy-Basics

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