Pluralsight Path Deep Learning Literacy Practical Application 2022 C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Course Overview Course Overview mp4

Pluralsight Path Deep Learning Literacy Practical Application 2022
C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Course Overview Course Overview mp4

Name	Pluralsight Path. Deep Learning Literacy. Practical Application (2022)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.9 GB
Total Files	486
Last Seen	2025-04-02 23:40
Hash	834B6201E4DFFFCAA866824648C67D3D42C40431

/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/1. Course Overview/1. Course Overview.mp4	2.9 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/1. Course Overview/1. Course Overview.vtt	1.8 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/4. Version Check.mp4	3.4 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/4. Version Check.vtt	2.0 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/exercise.7z	73.1 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/5. Outline of the Course.mp4	2.2 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/1. Why Should We Process Text.mp4	5.6 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/playlist.m3u	1.3 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/5. Outline of the Course.vtt	1.7 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/~i.txt	1.4 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/1. Why Should We Process Text.vtt	2.8 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/8. What Comes Next.mp4	3.3 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/3. Demo - Using OHE.mp4	33.5 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/6. Where to Go Next.mp4	4.2 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/1. How to Represent Words.mp4	5.0 MB
Showing first 15 files of 486 total files