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 Nirmal blackshadow.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 Prajapatimonikaprajapati.hashnode.dev·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 Prajapatimonikaprajapati.hashnode.dev·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
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 23, 2024Neural Networks: Understanding CNNs, RNNs, and Their Applications with PythonNeural networks have revolutionized the field of machine learning, enabling complex pattern recognition and learning tasks. In this blog post, we'll delve into the details of neural networks, focusing on Convolutional Neural Networks (CNNs) and Recur...DiscussAI/ML Blog By PrakharRNN & CNN differences
Japkeerat Singhjapkeeratsingh.com·Feb 15, 2024Unidirectional is *not* the only way...Recurrent Neural Networks, Long Short Term Memory, and Gated Recurrent Units, all three have one similarity. They all are unidirectional. It means, context is created by only and only considering the past. However, some use cases benefit to have cont...Discussbidirectional
Nishi Ajmeranishiajmera.com·Jan 23, 2024How do LLMs understand natural language?To answer this, we need to understand the Transformers architecture introduced by researchers at Google DeepMind in their paper "Attention is All You Need." But before we enter into Transformers Let's understand how natural language tasks were proces...DiscussDemystifying Large Language Models!llm
Japkeerat Singhjapkeeratsingh.com·Jan 18, 2024GRUs are lit 🔥 But why so little traction?LSTMs are popular because it solved the problem of vanishing gradient with RNNs. But so do Gated Recurrent Units (GRUs). On top of it, GRUs also have less parameters to learn compared to LSTM. And yet, GRUs are not used as much in the industry as LST...Discuss·29 readsgated recurrent unit
K Ahameddatailm.hashnode.dev·Jan 14, 2024Unveiling Neural Networks: A Comprehensive Guide from Layers to ApplicationsNeural networks, the cornerstone of artificial intelligence, operate as interconnected systems inspired by the human brain. Let's delve into the key components of neural networks, understand their roles, challenges, and explore their wide-ranging app...DiscussArtificial Intelligenceneural networks