Akhil Soniakhilworld.hashnode.dev·Oct 20, 2024Recur in RNNIn the article named “Convolution in NN”, just as we have seen that convolutional networks can process images of variable size, can readily scale to images with large width and height, we are also having the networks that can scale much longer sequen...DiscussRNN
Anix LynchProanixblog.hashnode.dev·Oct 20, 20247 Common Patterns For Neural Networks in Keras1. Fully Connected Neural Network (Feedforward Network) Use case: Very versatile. Useful for a wide variety of tasks involving structured, tabular data. They work well for both classification (binary/multiclass) and regression tasks, where the goal ...DiscussCNN
Aishwarya Jagadishaishwarya21.hashnode.dev·Oct 15, 2024Uncovering Deep Learning Models for Emotion Recognition Using EmoticHello everyone! It’s been a long time since I last posted, but I’m back with some exciting content on deep learning. Today, we are delving into a captivating subject that lies at the intersection of artificial intelligence and human emotions. In a wo...Discuss·11 likes·67 readsDeep Learning
Indu Jawlacoders.hashnode.dev·Oct 14, 2024A Comprehensive Overview of Neural Networks and Their Applications in Modern AINeural networks and deep learning are at the forefront of artificial intelligence (AI) and machine learning (ML), revolutionizing how machines perceive, interpret, and interact with data. This article provides an in-depth look at the fundamental arch...Discussneural networks
Anix LynchProanixblog.hashnode.dev·Oct 13, 2024Skip connection in Pytorch with CNNIn this code, you're setting up a skip connection in PyTorch using a simple convolutional neural network (CNN) with two convolutional layers. The skip connection allows information to "skip" one layer and be added back to the output of the next layer...DiscussCNN
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Oct 3, 2024Why Shift to CNNs: Solving Simple Neural Network Limitations and Understanding CNN [part1]Today, we’re excited to explore one of the most widely used neural networks, especially in image processing: Convolutional Neural Networks (CNNs). You might be wondering — we already have simple neural networks that can handle images as we explored i...Discuss·29 readsML & DLneural networks
Shreyas Ladheclouddevopsfornewbies.hashnode.dev·Sep 21, 2024My Deep Dive into Deep Learning: A Recap of the NVIDIA DLI Fundamentals of Deep Learning CourseI recently had the opportunity to attend the NVIDIA Deep Learning Institute (DLI) event hosted by Indian Institute of Information Technology Vadodara (IIITV), where I completed the Fundamentals of Deep Learning course. As someone passionate about bot...DiscussNVIDIA
Akhil Soniakhilworld.hashnode.dev·Sep 15, 2024Convolution in NNWhile working on deep learning, we all have come across the term ‘Convolutional neural network’ or CNN, but what this convolution actually mean. This is a method, operation, rule, instruction or algorithm which we know in this article. So convolution...DiscussDeep Learning
Soham Badgujarrootsoham.hashnode.dev·Sep 12, 2024Building a Flower Classification Model Using CNNIn this blog, I’ll walk you through how I built a real-time flower classification model using Convolutional Neural Networks (CNNs). The dataset for this project consists of images that I manually collected from my garden and augmented accordingly. I ...Discuss·1 likeCNN
Jyoti Mauryajyotimaurya.hashnode.dev·Aug 21, 2024Image Classification: An OverviewImage classification is a computer vision task that involves assigning a label or category to an image based on its visual content. It's like teaching a computer to recognize different objects and scenes. For instance, an image classification model c...DiscussComputer Visionimage classification
![Why Shift to CNNs: Solving Simple Neural Network Limitations and Understanding CNN [part1]](https://cdn.hashnode.com/res/hashnode/image/upload/v1727941143369/a9b18f8a-2ada-4f74-b523-c86b4d74362c.png?w=1600&h=840&fit=crop&crop=entropy&auto=compress,format&format=webp)
