Why do Long Short-Term Memory (LSTM) networks generally exhibit lower Mean Squared Error (MSE) compared to traditional Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in certain applications?
https://youtu.be/VQDB6uyd_5E In this video, we explore why Long Short-Term Memory (LSTM) networks often achieve lower Mean Squared Error (MSE) compared to traditional Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in specific applications. We delve into the unique architecture of LSTMs, their ability to handle long-range dependencies, and how they mitigate issues like the vanishing gradient problem, leading to improved performance in tasks such as sequence modeling and time series prediction. Topics Covered: 1. Understanding the architecture and mechanisms of LSTMs 2. Comparison of LSTM, RNN, and CNN in terms of MSE performance 3. Handling long-range dependencies and vanishing gradients 4. Applications where LSTMs excel and outperform traditional neural networks Watch this video to discover why LSTMs are favored for certain applications and how they contribute to lower MSE in neural network models! #LSTM #RNN #CNN #NeuralNetworks #DeepLearning #MachineLearning #MeanSquaredError #SequenceModeling #TimeSeriesPrediction #VanishingGradient #AI Don't forget to like, comment, and subscribe for more content on neural networks, deep learning, and machine learning concepts! Let's dive into the world of LSTMs and their impact on model performance. Feedback link: https://maps.app.goo.gl/UBkzhNi7864c9BB1A LinkedIn link for professional queries: https://www.linkedin.com/in/professorrahuljain/ Join my Telegram link for Free PDFs: https://t.me/+xWxqVU1VRRwwMWU9 Connect with me on Facebook: https://www.facebook.com/professorrahuljain/ Watch Videos: Professor Rahul Jain Link: https://www.youtube.com/@professorrahuljain
I can bet my money that depends on the task, LSTM networks are good for text patterns, CNN: images mostly, RNN: time series and text.
However, I want to point a single aspect, for that I will just quote Wikipedia even if that sounds strange:
“March 2022) Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem present in traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models and other sequence learning methods.”
By the way, nowadays, Wikipedia does peer-review on articles also, so information is getting better.