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Recurrent neural network (RNN) - explained super simple
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1. The data
2. How a RNN works (03:12)
3. The loss function (10:27)
4. Backpropagation - how the weights are optimized (11:15)
5. How to predict (16:15)
6. How to validate the RNN (17:50)
7. Overfitting (20:20)
8. Stack the data (22:25)
9. RNN in R (23:56)
10. RNN in Python (28:15)
11. Many-to-one RNN (31:09)
2. How a RNN works (03:12)
3. The loss function (10:27)
4. Backpropagation - how the weights are optimized (11:15)
5. How to predict (16:15)
6. How to validate the RNN (17:50)
7. Overfitting (20:20)
8. Stack the data (22:25)
9. RNN in R (23:56)
10. RNN in Python (28:15)
11. Many-to-one RNN (31:09)
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