Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)

preview_player
Показать описание
Using BERT and Tensorflow 2.0, we will write simple code to classify emails as spam or not spam. BERT will be used to generate sentence encoding for all emails and after that we will use a simple neural network with one drop out layer and one output layer.

🔖Hashtags🔖

#BERTModel #bertmodelnlppython #BERTtextclassification #BERTtutorial #tensorflowbert #tensorflowberttutorial

#️⃣ Social Media #️⃣

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
Рекомендации по теме
Комментарии
Автор

I had previously uploaded this video but code in that video had some issues handling imbalance in the classes. I've fixed those issues and recorded this new video. Thanks Abhishek and few others who pointed out the issues.

codebasics
Автор

I think these are the most underrated videos on deep learning. The concepts are explained so well. Please keep making more videos.

amoghdeshpande
Автор

Underrated channel tbh..He needs more recognition. Thanks a lot for supporting us.

mahedihassanshawon
Автор

Oh thank god, finally someone who explains well AND covers the topic in enough depth to be useful.

fuehnix
Автор

Thank u so much, need more videos related to NLP, need more advanced concepts/projects in NLP area

ss-dytw
Автор

I knew Jeff Bezos and banana has a lot in common 🤣 Great video btw

spider
Автор

Thanks for sharing this nice well explained concept.

kathira
Автор

Thank you so much for your videos! You don't know how much you have helped me. I was really scared to dive into transformers but you have made it very easy to understand.

MS-BeatrizBosques
Автор

You are awesome, this is first actual slow enough and easy BERT starting video i've seen and suited me very much!

maxhuttmann
Автор

Thanks. Very well explained. You explains the hidden insights which clears all doubts and make concepts simple and easy to understand.

sanketsonu
Автор

As soon as I watched this video I subscribed your channel. The videos and tutorials are super useful. Thanks for sharing these valuable knowledge with us for free :)

mahsasharifi
Автор

Bro watching these tutorials make me want to blow my brain up with the amount of times you mention your previous videos.

kennethnavarro
Автор

Well Explained ..Thank you for this wonderful explanation 👏

Sandesh.Deshmukh
Автор

Thank you very much! You really helped me!

natreven
Автор

sir i have seen your Complete Data analyst roadmap and Data Science roadmap video.I was very amazing.I request you to upload a video on Complete roadmap for learning DSA with resources.so that it can help students like me in placements.Thank You

sudharsanb
Автор

I am getting No matching distribution found for tensorflow_text==2.12 error while installing tensorflow_text using pip.Could you please help on this.Thank you

kathira
Автор

Hello. I remember you said that, NN is not suitable for working with text, as some disadvantages. why you used NN as a model here?.

nastaran
Автор

Great Video! By the way, a small typo, the percentage of spam is 747/(4825+747),

shakes
Автор

can we use the hidden layers(only CLS) generated from the bert model as a features, to train the tfdistilled bert for binary classification task

dronacharyulu
Автор

Thanks for the great explanation. Really heplful

kisholoymukherjee