Fatima Senouciforfatima senoucilearntogether.hashnode.net·Aug 22, 2022The Theoretical Concept That You Need To Learn Before Implementing a Convolution of Neural NetworkIntroduction Hello my amazing reader , We all know that Artificial intelligence still going strong this last decates , Deep Learning and specifically covolution neural network in short convnet. This subject that we will treat in this article in...Discuss·26 likes·79 reads4articles4weeks
Ninad IngaleforTechnophile Holmes Articlestechnophileholmes.hashnode.net·Sep 22, 2022Lobe:- Microsoft's Simplified Image Classification Application“Machine intelligence is the last invention that humanity will ever need to make.” -- Nick Bostrom https://youtu.be/Mdcw3Sb98DA The world that we exist in has indeed undergone technological change. From the devices in our wallets and homes to the c...Discuss·20 likes·93 readstechnology
David AndresforMachine Learning Pillsmlpills.hashnode.net·Sep 12, 2022Convolutional Neural NetworksConvolutional Neural Networks (CNN) are a kind of deep learning algorithms that can take multidimensional data such as images as input and detect and extract patterns or characteristics within it. CNNs have been proven to be very useful in Computer V...Discuss·1 like·138 readsDeep Learning
Nithiyashree Sfornithu22.hashnode.net·Apr 11, 2023Classifying retinal disease using CNNThere a lot of pre defined architectures meant for image processing. I have trained my model using VGG-16, LeNet architecture. The diseases chosen appear very similar but requires completely different treatments.A wrong diagnose will deteriorate eye ...DiscussRetina
Diwakar BasnetforDiwakar's blogbeafypanda.hashnode.net·Mar 8, 2023Learn to transfer artistic style of an image using Neural style transferLearning about neural style transfer is a great place to start if you want to improve in Convolutional Neural Networks (CNN). In this article, we will be implementing neural style transfer in python using the VGG19 model and applying the styles of on...Discuss·1 like·55 readsDeep Learning
Bhagirath Deshani forBhagirath's Blog Visionbhagirathkd.hashnode.net·Feb 17, 2023#116 Machine Learning & Data Science Challenge 116What is the difference between CNN and RNN? CNN (Convolutional Neural Network): • Best suited for spatial data like images. • CNN is powerful compared to RNN. • This network takes a fixed type of inputs and outputs. • These are ideal for video and im...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani forBhagirath's Blog Visionbhagirathkd.hashnode.net·Jan 22, 2023#65 Machine Learning & Data Science Challenge 65What is the Evolution technique of CNN? It all started with LeNet in 1998 and eventually, after nearly 15 years, lead to groundbreaking models winning the ImageNet Large-Scale Visual Recognition Challenge which includes AlexNet in 2012, Google Net i...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani forBhagirath's Blog Visionbhagirathkd.hashnode.net·Jan 21, 2023#64 Machine Learning & Data Science Challenge 64What is the pooling operation on CNN? Pooling Layer: It is commonly used to periodically insert a Pooling layer in-between successive Conv layers in a ConvNet architecture. Its function is to progressively reduce the spatial size of the representat...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani forBhagirath's Blog Visionbhagirathkd.hashnode.net·Jan 21, 2023#63 Machine Learning & Data Science Challenge 63What is CNN? This is the simple application of a filter to an input that results in inactivation. Repeated application of the same filter to input results in a map of activations called a feature map, indicating the locations and strength of a dete...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Alain Victor Ramirez MartinezforAlain's Blogalainramirez.hashnode.net·Dec 30, 2022Comparison of two ML Models using transfer learning for image classificationIn this article, I would like to explore with you a very useful technique in Deep Learning training called "Transfer Learning". The idea of sharing knowledge is not new for all of us. As far as We remember, this is exactly what human beings have been...Discuss·1 like·48 readsTransfer learning
Yash KhareforYash's Blogskhareyash05.hashnode.net·Dec 16, 2022A little about Convolutional Neural NetworksIn neural networks, Convolutional neural network (ConvNets or CNNs) is one of the main categories to do images recognition, images classifications. Objects detections, recognition faces etc., are some of the areas where CNNs are widely used. CNN imag...Discuss·1 like·55 readsCNN
Yuvraj SinghforYuvraj Singhyuvraj01.hashnode.net·Oct 24, 2022Convolutional Neural Network : The only introduction that you need !If you are looking for some resource that could help you to understand the way CNN works in a simple way, then let me tell you that you are at the right place, because after reading this blog post I can assure you that you will be fully equipped with...Discuss·49 readsCNN
Ninad IngaleforTechnophile Holmes Articlestechnophileholmes.hashnode.net·Sep 22, 2022Lobe:- Microsoft's Simplified Image Classification Application“Machine intelligence is the last invention that humanity will ever need to make.” -- Nick Bostrom https://youtu.be/Mdcw3Sb98DA The world that we exist in has indeed undergone technological change. From the devices in our wallets and homes to the c...Discuss·20 likes·93 readstechnology
