LinkedIn - Natural Language Generation with Python
Category: Tutorials
- views: 63
- date: 14 April 2025
- posted by: AD-TEAM

220.3 MB | 00:07:47 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 - Introducing natural language generation.mp4 (8.36 MB)
01 - Natural language generation using AI.mp4 (6.96 MB)
02 - Introducing SimpleNLG.mp4 (10.23 MB)
03 - Generating text with SimpleNLG.mp4 (9.51 MB)
04 - Using SimpleNLG for basic financial analysis.mp4 (15.6 MB)
01 - Natural language generation using deep learning.mp4 (5.65 MB)
02 - Understanding attention in language models.mp4 (4.46 MB)
03 - Introducing transformer models.mp4 (6.03 MB)
04 - The Hugging Face Transformers library.mp4 (3.66 MB)
01 - Exploring model and dataset for natural language generation.mp4 (10.9 MB)
02 - Setting up Google Colab.mp4 (4.36 MB)
03 - Loading and exploring training data.mp4 (9.21 MB)
04 - Tokenization and text generation.mp4 (11.56 MB)
05 - Computing ROUGE scores for generated text.mp4 (10.11 MB)
06 - Training the T5 small model.mp4 (17.6 MB)
07 - Visualizing training and validation losses.mp4 (1.91 MB)
08 - Generating text and computing ROUGE scores.mp4 (8.99 MB)
01 - Understanding language generation models.mp4 (4.51 MB)
02 - Decoding strategies for language generation.mp4 (11.3 MB)
03 - Exploring the GPT2 transformer on Hugging Face.mp4 (5.43 MB)
04 - Text generation using Greedy Search.mp4 (6.19 MB)
05 - Text generation using Beam Search.mp4 (9.93 MB)
06 - Text generation using sampling.mp4 (12.31 MB)
07 - Constrained beam search.mp4 (13.78 MB)
01 - References, summary, and next steps.mp4 (2.32 MB)]
Screenshot

AusFile
RapidGator
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
![]() |
Users of GUESTS are not allowed to comment this publication. | ||









