This video walks you through building an LSTM model to forecast Microsoft stock prices, step by step, using Python and TensorFlow. It explains how to process stock data, create supervised learning inputs, and train an LSTM for time series predictions. It highlights the challenges of stock prediction, shows how LSTMs handle trends, and explains why these models struggle with long-term forecasting. Great project for learning and showcasing skills! #MachineLearning #AI #DataScience #ArtificialIntel

Introduction to Long Short-Term Memory(LSTM) | Simplilearn

Danica Simic on Instagram: "Signal analysis using deep learning Jokes aside, I built an ECG Signal Analysis deep learning model using CNN-LSTM architecture to detect heart arrhythmias. The reason why I combined CNN (Convolutional Neural Networks) and LSTM recurrent neural networks is because of their excellent spatial pattern recognition which is important for PQRST waves. CNN excels at spatial pattern recognition LSTM captures temporal dependencies (rhythm patterns) So in the end I got a crazy