Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTMs) скачать в хорошем качестве

Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTMs)

This video explores the theory behind RNNs and LSTM networks, focusing on their ability to handle sequential data. It explains different RNN architectures, the concept of hidden states, and the vanishing/exploding gradient problem. The video introduces GRUs and LSTMs as solutions, detailing their gating mechanisms and step-by-step computations. Finally, it sets the stage for a hands-on lesson on predicting temperature trends using an LSTM model. Experience the full course and access all materials completely free of charge on the NFDI4Earth Educational Portal. Start learning (Coming Soon): https://edutrain.nfdi4earth.de