Text Generation in Deep Learning with TensorFlow & Keras Tutorial Series
This is the index page of the “Text Generation in Deep Learning” tutorial series. We will cover all the topics related to Text Generation with sample implementations in Python TensorFlow Keras. You can access the codes, videos, and posts from the below links.
If you would like to learn more about Deep Learning with practical coding examples, please subscribe to my YouTube Channel or follow my blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
BLOG LINKS:
Part A: Fundamentals
Part B: Tensorflow Data Pipeline for Character Level Text Generation
Part C: Tensorflow Data Pipeline for Word Level Text Generation
Part D: Sampling in Text Generation
Part E: Recurrent Neural Network (LSTM) Model for Character Level Text Generation
Part F: Encoder-Decoder Model for Character Level Text Generation
Part G: Recurrent Neural Network (LSTM) Model for Word Level Text Generation
Part H: Encoder-Decoder Model for Word Level Text Generation
FULL CODES LINKS:
You can access the full code as Colab Notebooks using the link given in the video description below.
YOUTUBE VIDEOS LINKS:
You can watch all these parts on the Murat Karakaya Akademi YouTube channel in ENGLISH or TURKISH.
VIDEOS IN ENGLISH
TÜRKÇE VİDEOLAR
Comments or Questions?
Please share your Comments or Questions.
Thank you in advance.
Take care!
