Understanding LSTMs(Python) | LSTMs over RNN? |Overfitting & Underfitting| Bitcoin Prediction Part 4

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In this beginner-friendly deep learning tutorial, I continue our journey into advanced neural network concepts:

1. Disadvantages of RNNs: Understand the limitations of Recurrent Neural Networks and why they may not be ideal for certain tasks.
2. LSTM Networks: Learn how Long Short-Term Memory (LSTM) networks work and why they’re better suited for sequential data.
3. Overfitting & Underfitting: Discover what overfitting and underfitting are, how they affect your models, and effective strategies to avoid them.

This video is part of my project-based series on predicting Bitcoin prices using Python. Designed specifically for those new to machine learning and deep learning, each topic is explained clearly and simply.

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