Pluralsight Path Deep Learning Literacy Practical Application 2022 C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Training Word Representations Demo Using OHE mp4

Pluralsight Path Deep Learning Literacy Practical Application 2022
C1 Implement Natural Language Processing for Word Embedding Axel Sirota 2022 Training Word Representations Demo Using OHE 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	2025-04-05 23:35
Hash	834B6201E4DFFFCAA866824648C67D3D42C40431

/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)/3. Training Word Representations/3. Demo - Using OHE.vtt	11.5 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/1. How to Represent Words.mp4	5.0 MB
/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)/3. Training Word Representations/6. Demo - Training a CBOW Embedding.mp4	42.4 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/1. How to Represent Words.vtt	3.1 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/4. Demo - Analyzing Sentiment with OHE.mp4	23.5 MB
/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
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/3. Demo - Making Word Clusters.mp4	21.4 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/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/2. First Embedding - One Hot Encoding.mp4	4.1 MB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/3. Demo - Making Word Clusters.vtt	7.8 KB
/C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/5. Key Takeaways and Tips.mp4	1.7 MB
Showing first 15 files of 486 total files