Pluralsight Path Deep Learning Literacy Practical Application 2022 C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Why Process Text Demo Introducing Globomantics Case Study vtt

Pluralsight Path Deep Learning Literacy Practical Application 2022
C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Why Process Text Demo Introducing Globomantics Case Study vtt

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	2025-04-05 23:35
Hash	834B6201E4DFFFCAA866824648C67D3D42C40431

/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/2. Demo - Introducing Globomantics Case Study.vtt	1.1 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/2. Why Process Text/2. Demo - Introducing Globomantics Case Study.mp4	1.6 MB
/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)/2. Why Process Text/3. Getting the Best out of This Course.vtt	2.8 KB
/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)/2. Why Process Text/5. Outline of the Course.vtt	1.7 KB
/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)/2. Why Process Text/3. Getting the Best out of This Course.mp4	4.0 MB
/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/5. Outline of the Course.mp4	2.2 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/2. Demo - Fine Tuning Glove and FastText.vtt	13.3 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/4. Demo - Analyzing Sentiment with OHE.vtt	8.3 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/8. What Comes Next.vtt	2.0 KB
/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)/3. Training Word Representations/6. Demo - Training a CBOW Embedding.vtt	14.6 KB
Showing first 15 files of 486 total files