Python Neural Networks - Tensorflow 2.0 Tutorial - Text Classification P1

This python neural network tutorial introduces the idea of text classification using a neural network and tensorflow 2.0. We will create a fairly simple model that is capable of classifying movie reviews as either positive or negative!

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Tags:
- Tech With Tim
- Python Neural Networks
- Neural Network Turtorials
- Text Classification Neural Network
- Text Classification tensorflow
- Python Tutorials

[TechWithTim]

Sorry for the abrupt ending... Next video will be out tmrw and cover the architecture of the network and talk about what the heck an embedding layer is?! Hope you all enjoy :)

[vitnovak]

Haha anyone else had a voice in their head screaming "OMG imdb is going to be undefined" the whole time until Tim finds out? :D Perfect lessons otherwise though! Love it!

[stewmcdonald]

Great work, Tim. Loving your tutorial videos.

If anyone hits this error "TypeError: unhashable type: 'list'" just change this line:

return " ".join([reverse_word_index.get(i, "?") for i in text])

to this:

return " ".join(list(reverse_word_index.get(i, "?") for i in text))

[BlueFlash]

always instantly adding your videos to my playlist so I can come home and start coding!

[keerthivarmanprakash]

To get version of any package in python
import package_name
package_name. ___version___ # use print if you are not in shell

[paul]

please continue with you're opengl seres

[ohrimenko.tarasqt]

Nice!
But how I can use my own data from CSV file? Thanks

[delbandtaha]

Tim, as always, thank you for doing these videos. Keeup up the great work.


Quick question about importing. I have seen you do this many times but did not quite understand it. Why do you import a package or a module, and then you import something specific from that module right after it?


For instance, in this video you imported tensorflow then followed it by importing keras from tensorflow. Wouldn't the first line import keras as well? I mean I would understand it if the second line was something like from tensorflow import keras as ks.

[paradoxnafi]

If anyone having the error "ValueError: Object arrays cannot be loaded when allow_pickle=False", here is the solution

[thiagocavila]

I really like your tutorials, but I am taking too much time to convert the version 2.0.0-alpha you used to actual 2.0.0. I think many things have changes in this video since then. Maybe it is worth considering an update =D

Why isn't numpy stable yet? I really wish Python had a stable ecosystem for data science, like R.

[hackercop]

Imagine if we were using yt comments instead of movie reviews!

[preverse]

in the 4th part when you bumped up the num_words to 88000 you say it would increase our vocab but according to your explanation here there will be lesser words as there will be lesser words that are frequent 88000 times

[gregouz]

Could someone explain me what this line does ? I'm not very familair with Python "word_index = {k:(v+3) for k, v in word_index.items()}"
Thanks

[farahalaa]

hello, thanks for your video, I have a question and I hope you answer it, if we did a text classification where can we add word to classify it . this step to test our model accuracy . what I mean is after text classification step i need to add some words and the model will classify them

[falconlin]

Love your videos. But word_index is indeed type dict. tuple has no method items.

[malek]

Why did we use the "softmax" activation function for an output between 0 and 1 in the previous fashion items recognition neural net, but then used "sigmoid" for the same (output between 0 and 1) effect this time???

[darkphoenix]

Why do you use Sublime rather then Pycharm or Jupyters Notebook?

[Raven-bixn]

What does the line {k:(v+3) for ...} do?

[DanielWeikert]

Where exactly is 1 -> Start added to the review so that the reverse output starts with Start. Same question for Unknown. We only define it at the beginning but why does it appear in a review?