You're not really explaining what you're doing as you're going... Which is a shame. Appreciate there's a lot of documentation to refer to, but 'beginners course' is a bit of a misnomer
I think this is a good video for beginners who want to see someone else's workflow and get an idea of what it means to go through a simple NLP project in TensorFlow. For that reason, I believe the title is not a bad choice and the video is a good resource. 🙂 Like you though, I wish there were some tutorials that did a good job explaining NLP theory and made it easier to go from beginner to good. The tutorials I've found so far are either too simple and general, either too advanced (for me, at least). For example, I've just discovered stanfordonline's "CS224N NLP with Deep Learning", which is a great course but is kicking my bottom because I understand very little of the math behind it. 🙃 Since more and more people are becoming interested in NLP, we'll probably start seeing more tutorials soon. It will become easier to find something that fits our learning styles. Until that happens, I'll try to not get depressed watching the Stanford tutorials and seeing those students ask smart questions while I have to google every step of a simple back propagation formula . 😁
41:36 so cute lol Went through this tutorial after finished Patrick Loeber's TF playlist. Imo Patrick's code is friendlier to read. This is probably not a good tutorial for TF beginners, but a great one after you learn the basics of TF.
Hello, have you explored how to build a custom encoder decoder architecture with tf2? For example machine translation, but to be able to run with variable length sequences, not just pad to maximum overall length.
Just added links to code in the description. Here they are: ⭐️Code ⭐️ 🔗Word Embeddings: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/word_embeddings.ipynb 🔗Text Classification: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_classification_rnn.ipynb 🔗Text Generation: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_generation.ipynb
The Last Jedi was polarizing at best. Its got great critic reviews and poor audience reviews. But the SW audience is kinda infamous for their immaturity so
That's a garbage tutorial. The code you're using is not generalizeable at all. When people inevitably deal with data that isn't from Tensorflow Datasets, how are they going to replace "encoder = info.features['text'].encoder". I have no idea what it does: it's Tensorflow specific. You should have turned the Tensorflow dataset into a Numpy array or a list immediately.
I learnt python with this channel, and now I'm creating my own course on a free platform (Stepik), To Give back to the Community ❤
Nice to hear that. I am also learning. What courses helped you the most?
@@francis2k488 That Python for beginners by Mike helped me the most, it was one of the finest course
Thanks. I will check it out.
Happy you grabbed the Python skills. Try and start applying the knowledge asap so you won't forget it.
@@francis2k488 thanks and same to you😊
You're not really explaining what you're doing as you're going... Which is a shame. Appreciate there's a lot of documentation to refer to, but 'beginners course' is a bit of a misnomer
I think this is a good video for beginners who want to see someone else's workflow and get an idea of what it means to go through a simple NLP project in TensorFlow. For that reason, I believe the title is not a bad choice and the video is a good resource. 🙂
Like you though, I wish there were some tutorials that did a good job explaining NLP theory and made it easier to go from beginner to good. The tutorials I've found so far are either too simple and general, either too advanced (for me, at least). For example, I've just discovered stanfordonline's "CS224N NLP with Deep Learning", which is a great course but is kicking my bottom because I understand very little of the math behind it. 🙃
Since more and more people are becoming interested in NLP, we'll probably start seeing more tutorials soon. It will become easier to find something that fits our learning styles. Until that happens, I'll try to not get depressed watching the Stanford tutorials and seeing those students ask smart questions while I have to google every step of a simple back propagation formula . 😁
Agree
41:36 so cute lol
Went through this tutorial after finished Patrick Loeber's TF playlist. Imo Patrick's code is friendlier to read.
This is probably not a good tutorial for TF beginners, but a great one after you learn the basics of TF.
Would I be rude if I asked for where to learn about tensorflow basics and said please?
I found it, thank u
I can't believe I've learned so much from this channel. Love from Pakistan.
This is definitely not for beginners. Knowing Python is not enough. You also need to know TensorFlow.
very good video to get an overview of this stuff, but aren't uncompiled languages just so much fun to work with! run.run.run.typo!
Hello, have you explored how to build a custom encoder decoder architecture with tf2? For example machine translation, but to be able to run with variable length sequences, not just pad to maximum overall length.
I want to run this project. Where can I find the datasets ? For doing this hands-on ?
Just added links to code in the description. Here they are:
⭐️Code ⭐️
🔗Word Embeddings: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/word_embeddings.ipynb
🔗Text Classification: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_classification_rnn.ipynb
🔗Text Generation: colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_generation.ipynb
I think this requires some background, I do not know much about TF and in first 15 minutes, I did not understand what is going on.
You are using tensorflow with GPU or without???
Extremely unclear, it seems like there must be some preparation course in order to understand what this dude is doing...
is it normal for the training to take a long time for the text generation
look at these GPUs...
What editor are you using? Looks like vi.
vim
@@kaushalshelke5109 I posted that 4 years ago and you are now just replying?
@@OppieT30 Yes. Questions?
Unity tutorial please
The Last Jedi was polarizing at best. Its got great critic reviews and poor audience reviews. But the SW audience is kinda infamous for their immaturity so
I am new to Python...And know all basic of Python...Is this video worth ??? Viewer please answer me
it's only 1.5 hours. So yes you can view it
This is not a beginner's course.
Bruh they straight up copped the Fleet Farm logo
Where is the GitHub for this project?
We're using Google Colab this time instead of GitHub. There are links to the different codebases in the description.
@@quincylarsonmusic Thank you for everything Mr. Larson !!
@@quincylarsonmusic links broken now
It's really annoying that you keep mentioning the typos.
This video is not for beginners at all.
I've got warning with 2.0 but they are not funny😂
First comment
I think it's GPT3
Not a good tutorial for beginners, No explanation is provided! Wasted my 2 hours
That's a garbage tutorial. The code you're using is not generalizeable at all. When people inevitably deal with data that isn't from Tensorflow Datasets, how are they going to replace "encoder = info.features['text'].encoder". I have no idea what it does: it's Tensorflow specific. You should have turned the Tensorflow dataset into a Numpy array or a list immediately.
Dr. Phil
I don't think this guy is explaining for beginners.
13 seconds agi
This is absolutely not for beginners, you are not even explaining what you are doing. This definitely needs some prerequisites.
Not for beginners. :/