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【压缩文件】 Deep Rock Galactic

收录时间:2024-01-03 文档个数:2 文档大小:2.8 GB 最近下载:2025-04-28 人气:1186 磁力链接

Deep.Rock.Galactic.v1.37.86799.0-OFME.rar 2.7 GB
Fix Repair/DRG_Fix_Repair_Steam_V4_Generic.rar 11.3 MB

猜你喜欢： v1 rar Galaxies Deep

【压缩文件】 3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE

收录时间:2023-12-31 文档个数:11 文档大小:10.4 GB 最近下载:2024-07-21 人气:24 磁力链接

3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part01.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part02.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part03.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part04.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part05.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part06.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part07.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part08.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part09.rar 1.0 GB
3DMGAME-Deep.Death.Dungeon.Darkness-TENOKE.part10.rar 991.6 MB
tenoke-deep.death.dungeon.darkness.nfo 32.7 kB

猜你喜欢： Dungeon TENOKE Death Darkness 3DMGAME Deep

【压缩文件】 House.Of.Loop.House.Of.Loop.Deep.House.Vocals.WAV

收录时间:2023-12-31 文档个数:2 文档大小:357.7 MB 最近下载:2024-04-28 人气:48 磁力链接

Loop.Deep.House.Vocals.rar 357.7 MB
audionews.nfo 785 Bytes

猜你喜欢： House Loop Vocals Deep WAV

【压缩文件】 MAGIX VEGAS Pro 20.0 Build 411 - 64bit +VEGAS Deep Learning Models v20.2.0 + Spolszczenie.rar

收录时间:2023-12-31 文档个数:1 文档大小:951.3 MB 最近下载:2025-04-08 人气:376 磁力链接

MAGIX VEGAS Pro 20.0 Build 411 - 64bit +VEGAS Deep Learning Models v20.2.0 + Spolszczenie.rar 951.3 MB

猜你喜欢： VEGAS 20.0 v20 Models Pro Deep 2.0 411 Learning rar

【压缩文件】 [FreeCourseSite.com] Udemy - Learn C++ Programming -Beginner to Advance- Deep Dive in C++

收录时间:2023-12-31 文档个数:2 文档大小:6.9 GB 最近下载:2025-05-11 人气:2943 磁力链接

[FreeCourseSite.com] Udemy - Learn C++ Programming -Beginner to Advance- Deep Dive in C++.part1.rar 3.8 GB
[FreeCourseSite.com] Udemy - Learn C++ Programming -Beginner to Advance- Deep Dive in C++.part2.rar 3.1 GB

猜你喜欢： C++ Advance Beginner FreeCourseSite Dive Programming Udemy Deep Learn com

【压缩文件】 [DEEP RISING (THOR)] 救出されなかったヒロインたち! (バイオハザード RE4).zip

收录时间:2023-12-30 文档个数:1 文档大小:312.7 MB 最近下载:2025-05-16 人气:772 磁力链接

[DEEP RISING (THOR)] 救出されなかったヒロインたち! (バイオハザード RE4).zip 312.7 MB

猜你喜欢： zip RE4 THOR RISING DEEP 救出

【压缩文件】 Deep Insanity NIRVANA v01s-06 DL-Raw.Se.rar

收录时间:2023-12-30 文档个数:1 文档大小:533.0 MB 最近下载:2025-05-09 人气:1608 磁力链接

Deep Insanity NIRVANA v01s-06 DL-Raw.Se.rar 533.0 MB

猜你喜欢： v01s 06 DL Deep Insanity NIRVANA Raw rar Se

【压缩文件】 (同人CG集) [DEEP RISING (THOR)] 完全敗北してしまった女神たち (ファイアーエムブレム風花雪月) (更新版).zip

收录时间:2023-12-30 文档个数:1 文档大小:894.0 MB 最近下载:2025-05-15 人气:2424 磁力链接

(同人CG集) [DEEP RISING (THOR)] 完全敗北してしまった女神たち (ファイアーエムブレム風花雪月) (更新版).zip 894.0 MB

猜你喜欢：更新版 zip CG THOR 敗北風花雪 RISING DEEP 同人女神

【压缩文件】 (18禁ゲームCG) [230114] [DMM.com] Deep One 虚無と夢幻のフラグメント.zip

收录时间:2023-12-30 文档个数:1 文档大小:3.6 GB 最近下载:2025-05-16 人气:2322 磁力链接

(18禁ゲームCG) [230114] [DMM.com] Deep One 虚無と夢幻のフラグメント.zip 3.6 GB

猜你喜欢： zip 18 CG 230114 Deep DMM com 夢幻

【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

猜你喜欢： Pluralsight 2022 Deep Practical Application Learning Path Literacy

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