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1:30
YouTube
MatrixMind
Text to Video with PyTorch | Simple Encoder-Decoder Model Explained with Shapes
Learn how to build a Text-to-Video model using PyTorch step by step! 🚀 In this tutorial, we explain how text sequences are encoded with an LSTM, transformed into latent embeddings, and decoded into video frames using 3D transpose convolutions. We also print out all the tensor shapes at each step, making it super easy to follow along. 👉 ...
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