Natural Language Processing with Sequence Models

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Below are the top discussions from Reddit that mention this online Coursera course from DeepLearning.AI.

Offered by DeepLearning.AI. In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with GLoVe ... Enroll for free.

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Taught by
Younes Bensouda Mourri
Instructor
and 2 more instructors

Offered by
DeepLearning.AI

Reddit Posts and Comments

0 posts • 2 mentions • top 2 shown below

r/MachineLearning • comment
1 points • setuc

The founder of JAX also has a course in Coursera https://www.coursera.org/learn/sequence-models-in-nlp

r/learnmachinelearning • comment
1 points • NaN_Loss

You need to use multivariate calculus and the chain rule.

I believe the implementation of backprop for RNN/LSTM is done in the coursera deeplearning specialization as an optional assignment https://www.coursera.org/learn/sequence-models-in-nlp?specialization=natural-language-processing

For cnn backprop, I don't think I've seen it implemented in a course yet, but I found this blog post: https://towardsdatascience.com/backpropagation-in-a-convolutional-layer-24c8d64d8509