Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Image Classification (Code)

The video tutorial covers the use of RNNs on the MNIST dataset, guiding viewers through a prepared Colab notebook. It emphasizes the importance of recreating the process independently. The tutorial details data loading, model building with TensorFlow, and training, achieving 99% accuracy on both train and test sets. It discusses the model's ability to capture long-distance information in images and analyzes the confusion matrix to identify common misclassifications. The video concludes with reflections on the interchangeability of data types in RNNs and CNNs.

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