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【压缩文件】 Hidden Deep v0.95.43.2.2.rar

收录时间:2024-05-07 文档个数:1 文档大小:1.4 GB 最近下载:2025-05-15 人气:6170 磁力链接

Hidden Deep v0.95.43.2.2.rar 1.4 GB

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【压缩文件】 [Deep Valley] If People Went in Heat [x3200][FAKKU].zip

收录时间:2022-04-10 文档个数:1 文档大小:140.7 MB 最近下载:2025-05-16 人气:6163 磁力链接

[Deep Valley] If People Went in Heat [x3200][FAKKU].zip 140.7 MB

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【压缩文件】 Deep.Rock.Galactic.Survivor.v0.4.19D.rar

收录时间:2024-11-21 文档个数:1 文档大小:1.9 GB 最近下载:2025-05-15 人气:6111 磁力链接

Deep.Rock.Galactic.Survivor.v0.4.19D.rar 1.9 GB

猜你喜欢： Galactic Survivor 4.19 Deep v0 rar Rock

【压缩文件】 ArtyTorrent Pack 16-Loopmasters Deep Trance Techno WAV Samples

收录时间:2017-02-09 文档个数:3 文档大小:345.2 MB 最近下载:2025-05-16 人气:6067 磁力链接

ArtyTorrent Repack.txt 875 Bytes
ArtyTorrent says PLEASE SEED FOR AS LONG AS POSSIBLE!.txt 224 Bytes
Loopmasters Deep Trance Techno CD-ROM-Smaller Repack by ArtyTorrent.rar 345.2 MB

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【压缩文件】 Three Body Tech - Deep Vintage [SEnki]

收录时间:2024-09-06 文档个数:1 文档大小:240.2 MB 最近下载:2025-05-15 人气:5986 磁力链接

Three Body Tech - Deep Vintage [SEnki].7z 240.2 MB

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【压缩文件】 Deep.Rock.Galactic.Survivor.v0.3.35d.rar

收录时间:2024-09-25 文档个数:1 文档大小:1.7 GB 最近下载:2025-05-14 人气:5916 磁力链接

Deep.Rock.Galactic.Survivor.v0.3.35d.rar 1.7 GB

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【压缩文件】 [Higeta] Hai Boruteji! - 17cm ni Koishiteru High Voltage! 17cm Deep in Love! (High Voltage!) [English] [DevilDongTL] [Digital].zip

收录时间:2024-06-04 文档个数:1 文档大小:152.3 MB 最近下载:2025-05-16 人气:5747 磁力链接

[Higeta] Hai Boruteji! - 17cm ni Koishiteru High Voltage! 17cm Deep in Love! (High Voltage!) [English] [DevilDongTL] [Digital].zip 152.3 MB

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【压缩文件】 Deep Purple From the Setting Sun... in Wacken 3Dremux emweka.iso

收录时间:2018-07-31 文档个数:1 文档大小:22.4 GB 最近下载:2025-05-16 人气:5735 磁力链接

Deep Purple From the Setting Sun... in Wacken 3Dremux emweka.iso 22.4 GB

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【压缩文件】 Pluralsight Path. Deep Learning Literacy. Practical Application (2022)

收录时间:2023-12-30 文档个数:486 文档大小:1.9 GB 最近下载:2025-05-16 人气:5734 磁力链接

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)/4. Fine-tuning Word Representations/2. Demo - Fine Tuning Glove and FastText.mp4 67.6 MB
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)/4. Fine-tuning Word Representations/4. Demo - Debiase Word Embeddings.mp4 40.3 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/3. Demo - Using OHE.mp4 33.5 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/2. Preparing Data for Model Training/3. Demo - Bringing It into Practice.mp4 31.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/07. Demo - Exploratory Data Analysis and Data Cleaning.mp4 30.6 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/7. Demo - Reanalyze Sentiment with a Network-based Embedding.mp4 27.7 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/exercise.7z 27.3 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/2. Demo - Load and Explore the Dataset.mp4 26.3 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/3. Training/4. Training a Model - Scripted and PaaS.mp4 24.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/09. Demo - Building a Model for Anomaly Detection.mp4 23.5 MB
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
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/5. Demo - User-based Collaborative Filtering.mp4 23.0 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/3. Demo - Pre-processing the Images Data.mp4 22.7 MB
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
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/6. Demo - Item-based Collaborative Filtering.mp4 21.2 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/4. Demo - Pre-processing the Captions Data.mp4 20.6 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/4. Deployment/2. Drift, Retaining, and Model Store.mp4 20.1 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/08. Demo - Data Preprocessing and Dimensionality Reduction.mp4 19.2 MB