A Beginners Guide to CNN with TensorFlow

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Image by Gerd Altmann from Pixabay

Convolutional Neural Network (CNN) is a type of deep neural network primarily used in image classification and computer vision applications. This article will guide you through creating your own image classification model by implementing CNN using the TensorFlow package in Python.

A simple neural network has an input layer, a hidden layer, and an output layer. A deep neural network can have two or more hidden layers. A convolutional neural network has convolution layers followed by a fully connected neural network. The types of layers and their functions are explained in the subsequent sections.

A hands-on approach to understanding the basics of object detection

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For the uninitiated, Real-Time Object Detection might sound quite a mouthful. However, with a few awesome libraries at hand, the job becomes much easier than it sounds. In this article, we will be using one such library in python, namely OpenCV, to create a generalized program that can be used to detect any object in a video feed.

OpenCV is an open-source library dedicated to solving computer vision problems. Assuming you have python 3 pre-installed on your machines, the easiest way of installing OpenCV to python is via pip. …

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Photo by Myriam Jessier on Unsplash

If you are thinking of getting into R, this article will give you a starting point. Through this article, I have tried to give a basic insight into data analytics using R.

You can download the setup file for R from “here”. Once this is sorted, you will need an IDE to start programming in R. RStudio will do just fine for an IDE and you can download a free desktop version from “here”. After downloading and installing the aforementioned software, you are all set to begin your programming journey with R. …

Vipul Kumar

Aspiring Data Scientist and ML enthusiast. Connect with me at www.linkedin.com/in/vipul-kumar-03241b102

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