How to Make a Text Summarizer - Intro to Deep Learning #10

I'll show you how you can turn an article into a one-sentence summary in Python with the Keras machine learning library. We'll go over word embeddings, encoder-decoder architecture, and the role of attention in learning theory.

Code for this video (Challenge included):

Jie's Winning Code:

More Learning resources:

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[fajaribnufatihan]

You're just explaining my whole final project in 9 minutes! Excellent work!

[michal]

You have just explained my last month work in 9 minutes. Great job.

[shreyas]

can you make one Live video about Sport's Analytics and Predictions . The Dataset is available on Kaggle. Thinking more like how Team progress year by year with changes(Such as transfer and Player signings) and Machine predict the outcome of such changes

[mamotivated]

You are doing the community and the world a great service by putting out such stellar and useful content. 🙌🏾💯💯

[noelhalim]

just random asking in 2:30
with open('data/%s.pkl', 'rb'):as fp:
does it work? i mean %s without the insert value can work in python?

[TalesLimaFonseca]

Siraj,
Can you put in the github the same code that you show in the video?
You have used a helper 'postprocessing' and I can repeat what you did without this code.

[CuddleStories]

Best channel I've come across!! You've taught me real applicable concepts

[jasonsebring]

Siraj, you are doing great work man. I feel like this is approachable as you map out the whole thing. Thank you.

[matheusdellacroceoliveira]

Hi! Your videos are great! Do you know a NN architecture that can be used to compare two non-structured texts and say if they are the same? If you don't have a structured text, will models that use word embeddings work? Thanks!

[Fireking]

Awesome video! Thanks Siraj. Your videos have really let a beginner like me start learning this field.

Also if you need any ideas, I'd really enjoy a video in this series about translation models and example model.

[TheSiddharthau]

Your way of explanation is very interesting.
I liked it. Thanks for such a nice tutorial.
Looking forward for more similar stuffs on Deep Learning and Text Summarization with more deeper insight.

[wenjiama]

You are awesome! I am a big fan of you! much clearer and more interesting than university professors!

[withoutmalicexo]

best channel I've discovered lately on YouTube

[ryandsilva]

How would you get a multiple line summary from a meeting minutes corpus?
Any examples / links?

[vortex]

Damn this is the first time I've seen you post something within a minute.

[upuldi]

Your channel deserves more subscribers. Keep it up. Really enjoyed your vids. Thank you.

[coolboyzeeshan]

I have often thought about summarization Problem. I was mesmerized by this video, amazing stuff !!!

[searchmahesh]

Amazing talk, Siraj, Thanks
Do u think Glove vectors can make models more accurate in spite of small training data or its just for computational efficiency?

[tallurinagapoornima]

Suppose if I have a directory of files and images and all my data on my own pc, by passing a text message of data ' show me salary report' it should search the file name and displays it directly.
We have to train the model such that it understands the text message I pass.
Please say me how can I do that using NLP

[zachtheguitarripper]

Hey, just a quick question: the post-processing module listed above--is it a custom module you coded, or is it available for download somewhere?