Introduction Hey there! Just finished another deep learning project several hours ago, now I want to share what I actually…
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Docker-based Python Development with CUDA Support on PyCharm and/or Visual Studio Code
Introduction Setting up a development environment is not easy if you are inexperienced, especially if a lot of technologies you…
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Introduction The human brain can easily recognize and distinguish the objects in an image. For instance, given the image of…
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Convolutional Neural Networks (CNN) are state-of-the-art Neural Network architectures that are primarily used for computer vision tasks. CNN can be…
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Overview What are autoencoders? How do autoencoders work? This article will answer your questions We will explore the concept of…
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Well, this helps make our deep learning model more robust. Let’s see how we can do that. We will use…
Continue ReadingDrawing with Unicode block characters
My previous post contained the image below. The point of the post was that the numbers that came up in…
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Be Fluent in R and Python!If you ask me where to invest your time in R or Python, I will advise…
Continue ReadingA Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code)
Table of Contents Introduction to SIFT Constructing a Scale Space Gaussian Blur Difference of Gaussian Keypoint Localization Local Maxima/Minima…
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Julian Havil writes what I think of as serious recreational mathematics. His books are recreational in the sense that they…
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The colored images have more information as compared to the grayscale images but the size of the images is very…
Continue Reading3 Beginner-Friendly Techniques to Extract Features from Image Data using Python
There are various kernels that can be used to highlight the edges in an image. The method we just discussed…
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Anomaly Detection in ImagesClassify and Individuate anomalies with ConvolutionalMarco CerlianiBlockedUnblockFollowFollowingJul 11In Machine Learning is normal to deal with Anomaly Detection tasks.…
Continue ReadingDeep Learning on Microscopy Imaging
Is it just the spatial structure of the data?First thing you notice running Deep Learning on image data is that…
Continue ReadingHow Computers See: Image Recognition and Medieval Pole Arms
The answer, for most neural networks, is a process called “back-propagation”. It’s called this because it involves the final layer,…
Continue ReadingSummarizing popular Text-to-Image Synthesis methods with Python
Summarizing popular Text-to-Image Synthesis methods with PythonComparative Study of Different Adversarial Text to Image MethodsSharmistha ChatterjeeBlockedUnblockFollowFollowingJul 2IntroductionAutomatic synthesis of realistic images from…
Continue ReadingUncovering what neural nets “see” with FlashTorch
The first feature visualisation technique I implemented is saliency maps. We’re going to look at it in more detail below,…
Continue ReadingLog Book —Guide to Excel & Outlook email Delivery Automation via Python
Log Book —Guide to Excel & Outlook email Delivery Automation via PythonThis article is divided into 2 parts, first part deals…
Continue ReadingGiving Text an Inner Shadow with ImageMagick and Perl
We’ll be using this mask in our final step to spray bits of one image onto another while blocking out…
Continue ReadingStep by Step Facial Recognition in Python
Step by Step Facial Recognition in PythonA simple how-to using Python, Pillow, and a few lines of codeUlku GuneysuBlockedUnblockFollowFollowingJun 4Source: attnIn this…
Continue ReadingThe TICK Stack as a Docker Application Package
This is actually one of the main features of the Docker Application Package — the possibility to use different settings for different…
Continue ReadingHow to make a Pizza with Deep Learning
New Deep Learning research from MIT suggests so!Their recently released research titled How to make a pizza:Learning a compositional layer-based…
Continue ReadingManaging IPFS Image Uploads With Angular NgRx v8
Image by Stefan Keller from PixabayManaging IPFS Image Uploads With Angular NgRx v8Part three in our series demonstrating how we are building…
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