Mohit Goyalblog.mohitg.xyz·Feb 5, 2025Titans: A Deep Dive into Next-Generation AI Memory ArchitectureIntroduction Titans represent a significant leap forward in artificial intelligence, particularly in addressing the challenge of long-term memory. Unlike traditional models like Transformers, which struggle with extensive historical contexts, Titans ...Artificial Intelligence
Jyotiprakash Mishrablog.jyotiprakash.org·Jan 30, 2025RNNs: Neural Nets in TimeRecurrent Neural Networks (RNNs) are a specialized type of artificial neural network designed to recognize patterns in sequences of data. Unlike traditional feedforward neural networks, where information moves in one direction from input to output, R...birnn
Mohammad Reza Mahdiania-survey-of-neural-network-architectures.hashnode.dev·Dec 24, 2024A Survey of Neural Network ArchitecturesIntroductionEach ANN technique has been designed to address specific challenges, and choosing the right one can make all the difference in your machine learning projects. In this article, we’ll explore some of the most prominent ANN architectures, th...1 likeLSTM
Anix Lynchgozeroshot.dev·Nov 5, 2024Part 2: 10 Advanced ML and Ensemble Methods with Math Notation Friendly Explained1. k-Means Clustering k-Means Clustering is an unsupervised learning algorithm used for grouping data points into \( k \) clusters based on their similarity. The algorithm works by assigning each data point to the nearest cluster center, then adjusti...K-mean
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...2d/3d convolution
Monojit Sarkarmonojit13.hashnode.dev·Jul 21, 2024What I learnt about LSTM.LSTM’s can learn from its input sequence when to use short term dependency and when to use long term dependency. In short term dependency it decides to clear the cell state. In long term dependency it decides not to clear the cell state. LSTM’s cont...LSTM
Osen Muntuoseninsights.tech·Jun 12, 2024Understanding Long Short-Term Memory (LSTM) NetworksLong Short-Term Memory (LSTM) networks are a type of recurrent neural network (RNN) specifically designed to model and predict sequential data. Unlike traditional RNNs, LSTMs are capable of learning long-term dependencies, making them particularly ef...1 like·34 readsLSTM
Hairulnizam Hashimhairulnizam.hashnode.dev·Jun 9, 2024Building an LSTM-Based Stock Price Prediction Model: An End-to-End GuideIn this blog post, we’ll walk you through creating an end-to-end machine learning application to predict stock market prices. We'll use Python, TensorFlow, Keras, and Flask for this project. Let's dive in step-by-step, from data collection to deploym...5 likesAI
FMZ Quantfmzquant.hashnode.dev·May 31, 2024Neural Networks and Digital Currency Quantitative Trading Series (1) - LSTM Predicts Bitcoin Price1. Brief introduction The deep neural network has become more and more popular in recent years. It has solved the problems that could not be solved in the past in many fields and has demonstrated its strong ability. In the prediction of time series, ...Bitcoin
kushagra raitechlearngrow.hashnode.dev·Apr 11, 2024Summarization of Customer Reviews PROJECTProblem Statement Here we will see how the entire context of a particular text can be automatically generated in a precise less number of words. I have used the kaggle data set (https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews/home...encoder decoder