9. Hybrid LSTMs [Long Short-Term Memory]

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Lukas discusses how LSTMs perform classification, deep LSTMs, bidirectional LSTMs, and CNN/LSTM hybrids.

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As per the previous video, I get no training data:
Traceback (most recent call last):
File "imdb-lstm.py", line 26, in <module>
(X_train, y_train), (X_test, y_test) = imdb.load_imdb()
File "C:\Users\su_matthewbennett\wandb\ml-class\videos\lstm-classifier\imdb.py", line 8, in load_imdb
X_train.extend([open(path + f).read() for f in os.listdir(path) if f.endswith('.txt')])
FileNotFoundError: [WinError 3] The system cannot find the path specified: './aclImdb/train/pos/'
Am I missing something here?

Mbittrainingltd

Really enjoyed the video but had a couple of doubts.
1.) Dont you need to preprocess the data to remove all the stop words
2.) if not does the stop words add some intrensic value to the structure of the sentence that would help building the model.
3.) Similarly for slangs, emojis etc etc.

spec

I want to say thank you for your presentation next Sir if you show how hybrid CNN-LSTM work more deeply its better

sufiankedirabdella

Is deep LSTM better than vanilla lstm?

lemoniall

Hi there,

An amazing video. I have been working for some time with text data and I must confess that it is great effort.

about code, I am getting an error when I try to build hybrid network i.e LSTM+CNN

TypeError: The added layer must be an instance of class Layer. Found: object at

Any ideas ?

Regards

hassansherwani

9. Hybrid LSTMs [Long Short-Term Memory]

9. Hybrid LSTMs [Long Short-Term Memory]

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