BEST SERIES ON THIS CHANNEL. SAD THAT IT'S OVER :(

I've watched this 3 times and understand it more each time. You are a great teacher and thank you for the content!

I've been looking for weeks material to introduce into NLP and this is by far the clearest lessons I've found, even being published two years ago, great teacher.

Best Tensorflow learning Ever I've seen

It is amazing how you able to explain, thank you for that. It would be great to see and learn much more regarding to NLP

Amazing series. Thanks a lot for creating this series....You have explained it so well that things start looking simple. It creates lot's of interest and confidence. Proudly to say "I have leaned the deep learning and NLP concept by watching Laurence Moroney training video'"... Looking forward to have more training videos like this from you.

Very simple explanation. Made everything look very easy. Thank you so much for making these. I would like to see more videos in this series on NLP

Hi Laurence, Thanks for recording NLP series and amazing . This is blessing that it is freely available. It would be great to learn much more recording about NLP.

These videos are absolutely amazing. Thank you so much for making these, you're really helping newcomers to the community like me :)

Really terrific, Laurence, thanks so much for all the effort you put into these excellent videos.

Best NLP Series I've ever seen. Thank you

This vid totally made me shed love raw boo...:p

playlist was amazing, thanks for work!!

This was so helpful, thanks for this. It would be great if you make more like this.

Awesome video. Would love more content around topic modeling/generation!

Really awesome to learn about NLP in such a easy way

This was an amazing video! Thanks I want to see more NLP videos 😄

Currently, I am on Week 1 of the TensorFlow in Practice course. These nuggets of learning are a great way to impart knowledge on NLP and complement the course material. The notebooks are useful too. Thanks for your effort.

Thank you for these videos.. the simplest and best explanation i've seen by far.

Wow, I can finally understand how a language model like GPT-3 can be made! I know that the GPT-3's model architecture is much more complex than this, but I can at least imagine how could that be achieved. Up until now, I looked at GPT-3 like a stone age man looked at fire. Thank you so much Laurence Moroney! :)

I would like to see more videos in this series on NLP! You are a great instructor, Thank you!

Your method of explanation is amazing I sat hours for tensorflow tutorials, now I listen to you, I understand clearly and learn more. I hope you can do more video content on NLP

OMG, very nice and thank you google. I hope this course continues

I am amazed that how can you explain such a detailed content in just 6 videos.....YOU ARE A LEGEND SIR Plz explain about voice recognition using tensorflow

thank you for this serie, fun till the end

Damn that was so easy to grasp, thank you so much Sir!!!!!

This was a great series thank you

Very interesting series, thank you!

Is sad that this is over. I personally will love to see more on NLP combined with new novel approaches like Attention and BERT. I ❤ TF.

Very nice series. It gives me good understanding of NLP and I would like to thank you. More please.

please create more videos, they're great, thanks a bunch.

Thank you for your beautiful explanation.

I literally had a project about this exact exact thing, Thank you very much!

It is a great series.. thanks , good work

thank you for the series!

Brilliant. Very vel explained. thanks

great stuff, i'm getting a lot out of the series. thanks!

Awesome work! Thank you. Could you please add videos about using transformers and attention?

wonderful and simple. thanx.

Thank you so much Sir! Please give us the opportunity to learn more from you.

thank u ser , this series was very helpfull

This was great!

It would be great if the playlist was listed in order of what we should watch.

Thanks for the videos! It would be great if you can create more videos about NLP like creating custom spelling correction and text matching.

I've watched this 3 times and understand shed love raw boo more each time.

nice content..easy to understand.

More videos please, the instructor is very good

Great content! Thanks a lot

It's simple and powerful, please provide us a series as simple as this in reinforcement learning and also deeper level of detail in NLP, Computer vision. Thanks so much.

Awesome >>> I will vote for another session on NLP

Great content.....Thank you very much would like to see more video

great content, we need more!

new content about nlp please, this series is amazing!

great explanation and thank you for all the efforts ~~, any chance if you could include advance NLP videos i.e. transformer, LLM?

Yes we want more please!

great and easy to learn thanks

shed love raw boo = you guys are amazing

This is the best video on next word prediction (text prediction). Thanks a lot Mr. Laurence. :) #NextWordPrediction #TextPrediction #NLP

Excellent.

Thanks a lot. Teaching at it's best

Excellent!, Looking forward to Text summarization.

Would love more NLP stuff!

very very helpful and thanks

It is just amazing!

Nice video! Thank you :D

Amazing tutorial ,Thanks

nice presentation. I want more video content on analyzing tweets

which software was used to curate this video? Excellent video presentation

Please can you make a series on speech recognition?

Nice Explation.Sir.I want more

Did I comment already? I just wanna say, this was awesome..

OMG, I have no word to describe how greate your presentation is. What can I say? I liked your lecture like my favorite food. Can u add more video: Gated Recurrent Unit(GRU)?

Amazing video thanks a lot ..but how to handle model created ?

Your idea is great.

wow this is what i need. thats literally takes a loop to generate the text at the end. i understand that why you can use "" token to stop generating the text instead limiting the result to 20.

Super simple and super amazing tutorial! Please make a simple tutorial for seqtoseq machine translation model.

Hey Laurence! Thanks a lot for this series, you are absolutely great! I wonder if you could make some episode(s) on chatbots and different strategies to approach this part of NLP. I personally carried out some experiments with chatbots, using intents-based approach - when you basically make intents for different kinds of questions and provide the chatbot with answers for this particular case. Google Dialogflow is great for that, by the way. Still, it's more like a stimulus-reaction. Many people try to use Cornell corpus of movies scripts to train their models - I did, too, but wasn't too impressed with the result. I wonder if more intelligent and creative text generation would be possible for a chatbot.

Very nicely explained. It would be nice if some content on the encoder-decoder model with attention and transformer model for language understanding is made because I find very difficult to learn these by myself.

Felt sad hearing the series end. Please continue for machine translation, attention model, bert.

please order the playlist

Great series , I would like to see topicmodeling using tensorflow

Dear Sir! You are the proficient teacher in your teaching and sharing knowledge for the learners all around the world. By the way, Can I get more videos that are related to LSTM? Please Sir.

You are awesome Laurence... I am very excited to learn from you. We want to learn more from you. Can you please explain how can we use RNN/LSTM in the real time business scenarios like Time Series Forecast modelling please. Thanks in advance...

How to train the model to stop in some point when generating text?

I would like to learn how to build an AI chatbot using NLP, which could understand what we are providing and reply accordingly. You really made it very easy to understand the basic concepts behind the scenes. By The Way, I am currently enrolled in the DeepLearning.AI Specialization course for Deep Learning and I would soon enroll in your course on NLP too. Deep Learning is real fun in the computer science field as in my opinion. Thank You So Much, Lots of Love From India😊🤗

I came back to your videos after a while and I got amazed again! I wish there was a wideo (or tf function) instructing how to convert predictions score (probs) into classes. For now, we have to play with code little bit :) Or I missed something...?

Laurence morony please come back and make more tutorials you are the best ..

Sir can you make more videos on NLP

Although the series come to an end The great man will continue to send All the things man try to amend People must accept the errand

I have searched everywhere and couldn't find a solution. How can we use tf.keras.layers.masking to skip time steps when training with sequences of images? I'm trying to implement a deep RL agent with cnn + stateful lstm policy using functional api. So in order to make the variable sequence data into batches of fixed size I need to use masking layer which works amazing with padded data which is 1d and not 2d like images. But I m not sure if it works with images . Can anyone help? I'll be very thankful

Does the playlist in the sequence ?

تحياتي الخالصة شكرا جزيلا

It's amazing and I could implement it in various string dataset. But I have a doubt. How to improve it to learn from multiple poems?

hi, i'm stucking at the like index ==predicted that said i have to use a.all or a.any, how can i fix that ? it keeps generating 1 word only :(

Please make more education video on NLP

is this series really meant for someone with a beginner level in NLP?? I can understand most of the concepts but I don't know any of the (keras) functions used!

What is the difference between Natural language processing and Recurrent neural network? I mean we could use NLP for the completion of this task then why to use RNN?

More please!

Could you please name the all books behind you Sir ??

Just awesome as always :) Would love to see something related to transformers