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 14, 2024RNN(Recurrent Neural Network) SimplifiedWhat is an RNN Cell? RNNs are great when you need to handle data that comes in a sequence, like text, sound, or time-series data. For example, to understand a sentence, you need to remember the previous words to make sense of the next one. RNNs are d...DiscussRNN
kasinadhsarmablogs.kasinadhsarma.in·Aug 17, 2024NeuroFlex: Pioneering the Future of AI and ConsciousnessIn the rapidly evolving landscape of artificial intelligence, a groundbreaking project has emerged that promises to revolutionize our understanding of machine learning, quantum computing, and even consciousness itself. Enter NeuroFlex, an ambitious a...Discuss2d/3d convolution
Sujit Nirmalblackshadow.hashnode.dev·Jul 31, 2024Recurrent Neural Networks: Mastering Sequence PredictionIntroduction: Imagine you're trying to predict the next word in a sentence, the next note in a melody, or the next value in a stock price series. These tasks involve understanding sequences, and that's where Recurrent Neural Networks (RNNs) shine. RN...Discussrecurrent neural network
Monika Prajapatiblog.monikaprajapati.com.np·Jul 21, 2024Emotion Detection Using Convolutional and Recurrent Neural NetworksIntroduction Emotion detection from speech and text is an important problem in affective computing with applications in human-computer interaction, sentiment analysis, mental health monitoring, and more. In recent years, deep learning approaches usin...Discuss·7 likesSpeech Emotion Recognition
Monika Prajapatiblog.monikaprajapati.com.np·Jul 18, 2024Machine Learning Techniques for Speech Emotion RecognitionIntroduction Speech emotion recognition (SER) is the task of automatically identifying the emotional state of a speaker from their voice. It has important applications in areas like human-computer interaction, call centers, healthcare, and affective ...Discuss·16 likesHybrid CNN-RNN
Osen Muntuoseninsights.tech·Jun 11, 2024Understanding Recurrent Neural Networks (RNNs)Recurrent Neural Networks (RNNs) are a class of neural networks designed for processing sequential data. Unlike traditional feedforward neural networks (FFNNs), RNNs can handle tasks where the order of data points is important, such as time series an...Discuss·2 likes·36 readsRNN
