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【压缩文件】 Deep Rock Galactic v1.38.91584.rar

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tenoke-deep.rock.galactic.v1.37.84154.0.iso 5.7 GB
Deep.Rock.Galactic.Update.v1.38.88280.0-TENOKE/Update/Patch.bin 629.1 MB
Deep.Rock.Galactic.Update.v1.37.85055.0-TENOKE/Update/Patch.bin 441.5 MB
Deep.Rock.Galactic.Update.v1.38.88586.0-TENOKE/Update/Patch.bin 408.0 MB
Deep.Rock.Galactic.Update.v1.38.88413.0-TENOKE/Update/Patch.bin 404.4 MB
Deep.Rock.Galactic.Update.v1.37.86799.0-TENOKE/Update/Patch.bin 381.2 MB
Deep.Rock.Galactic.Update.v1.37.85055.0-TENOKE/Update/PATCH.exe 4.6 MB
Deep.Rock.Galactic.Update.v1.38.88280.0-TENOKE/Update/PATCH.exe 4.6 MB
Deep.Rock.Galactic.Update.v1.38.88413.0-TENOKE/Update/PATCH.exe 4.6 MB
Deep.Rock.Galactic.Update.v1.38.88586.0-TENOKE/Update/PATCH.exe 4.6 MB
Deep.Rock.Galactic.Update.v1.37.86799.0-TENOKE/Update/PATCH.exe 4.6 MB
Deep.Rock.Galactic.Update.v1.38.88280.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/steam_api64.dll 1.1 MB
Deep.Rock.Galactic.Update.v1.38.88413.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/steam_api64.dll 1.1 MB
Deep.Rock.Galactic.Update.v1.38.88586.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/steam_api64.dll 1.1 MB
Deep.Rock.Galactic.Update.v1.37.86799.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/steam_api64.dll 1.1 MB
Deep.Rock.Galactic.Update.v1.37.85055.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/steam_api64.dll 743.4 kB
Deep.Rock.Galactic.Update.v1.37.85055.0-TENOKE/Crack/Legacy/Engine/Binaries/ThirdParty/Steamworks/Steamv139/Win64/steam_api64.dll 743.4 kB
Deep.Rock.Galactic.Update.v1.38.88280.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/icons.zip 324.1 kB
Deep.Rock.Galactic.Update.v1.38.88413.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/icons.zip 324.1 kB
Deep.Rock.Galactic.Update.v1.38.88586.0-TENOKE/Crack/Engine/Binaries/ThirdParty/Steamworks/Steamv151/Win64/icons.zip 324.1 kB

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[DEEP RISING (THOR)] Eiyū-tachi wa inran'na on'nadeshita (Fire Emblem Heroes).zip 586.1 MB

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【压缩文件】 The.Hit.Sound.Deep.Ambient.SCD-DISCOVER

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dis-thsda.rar 52.4 MB
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【压缩文件】 Kate Price - Deep Heat's Core

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Kate Price - Deep Heat's Core.iso 743.9 MB
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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning and NLP A-Z™ How to create a ChatBot

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8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2.1 seq2seq-chatbot-master.zip 1.2 GB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/5.1 seq2seq-chatbot-master.zip 1.2 GB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/1.1 seq2seq-chatbot-master.zip 1.2 GB
9. Other ChatBot Implementations/2.1 The Best ChatBot.zip 836.8 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/3. ChatBot - Step 43 Chatbot model discussion.mp4 104.1 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/4. ChatBot - Step 44 Tensorboard.mp4 62.8 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/6. ChatBot - Step 21.mp4 58.0 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/7. ChatBot - Step 22.mp4 57.1 MB
6. ---------- PART 3 - TRAINING THE SEQ2SEQ MODEL ----------/13. ChatBot - Step 35.mp4 56.9 MB
11. Annex 2 Recurrent Neural Networks/5. Practical Intuition.mp4 55.4 MB
9. Other ChatBot Implementations/5. THANK YOU bonus video.mp4 54.8 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/8. ChatBot - Step 23.mp4 52.9 MB
11. Annex 2 Recurrent Neural Networks/4. Long Short Term Memory.mp4 48.2 MB
4. ---------- PART 1 - DATA PREPROCESSING ----------/15. ChatBot - Step 17.mp4 45.7 MB
9. Other ChatBot Implementations/2. The Best ChatBot.mp4 41.3 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/5. ChatBot - Step 20.mp4 39.7 MB
11. Annex 2 Recurrent Neural Networks/2. What are Recurrent Neural Networks.mp4 39.2 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2. ChatBot - Step 42 Introduction to a new model & setup.mp4 37.3 MB
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收录时间:2022-05-14 文档个数:1 文档大小:386.6 MB 最近下载:2025-04-06 人气:634 磁力链接

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【压缩文件】 Deep Rock Galactic

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Deep.Rock.Galactic.Build.03052022-OFME.rar 2.6 GB
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【压缩文件】 Deep Purple - Come Taste the Band - 5.0 Upmix 2022

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SACD/Deep Purple - Come Taste the Band - 5.0 Upmix.iso 2.2 GB
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【压缩文件】 Pluralsight Path. Building Deep Learning Solutions with PyTorch (2020)

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B1. Image Classification with PyTorch (Janani Ravi, 2019)/exercise.7z 164.3 MB
C3. Deploying PyTorch Models in Production. PyTorch Playbook (Janani Ravi, 2019)/4. Implementing Distributed Training on Multiple Machines/7. Running Distributed Training Using the PyTorch Estimator.mp4 26.2 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/3. Creating PyTorch Solutions on Azure/07. Distributed Training in PyTorch Using the Horovod Framework.mp4 23.8 MB
C1. Expediting Deep Learning with Transfer Learning. PyTorch Playbook (Janani Ravi, 2019)/2. Getting Started with Transfer Learning/12. Exploring Pre-trained Models in PyTorch.mp4 22.1 MB
C2. Predictive Analytics with PyTorch (Janani Ravi, 2020)/4. Implementing Predictive Analytics with User Preference Data/13. Demo - The Train Helper Function.mp4 21.3 MB
B3. Natural Language Processing with PyTorch (Janani Ravi, 2019)/6. Performing Language Translation Using Sequence-to-Sequence Models/09. Training the Sequence-2-Sequence Model Using Teacher Forcing.mp4 21.0 MB
A2. Building Your First PyTorch Solution (Janani Ravi, 2019)/2. Installing PyTorch on a Local Machine/07. Installing PyTorch with CPU Support Using Conda.mp4 20.1 MB
B3. Natural Language Processing with PyTorch (Janani Ravi, 2019)/3. Performing Binary Text Classification Using Words/06. Using Torchtext to Process Text Data.mp4 19.7 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/2. Creating PyTorch Solutions on AWS/15. Instantiating a Deep Learning VM.mp4 19.5 MB
C3. Deploying PyTorch Models in Production. PyTorch Playbook (Janani Ravi, 2019)/2. Persisting and Loading PyTorch Models/10. Exporting a Model to ONNX and Loading in Caffe2.mp4 19.2 MB
C2. Predictive Analytics with PyTorch (Janani Ravi, 2020)/3. Implementing Predictive Analytics with Text Data/7. Demo - Defining the RNN.mp4 19.1 MB
C2. Predictive Analytics with PyTorch (Janani Ravi, 2020)/2. Implementing Predictive Analytics with Numeric Data/12. Demo - Building and Training Custom Neural Networks for Classification.mp4 19.1 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/2. Creating PyTorch Solutions on AWS/08. Prototyping a PyTorch Model on SageMaker Notebooks.mp4 19.1 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/2. Creating PyTorch Solutions on AWS/11. Distributed Training in PyTorch.mp4 18.6 MB
B3. Natural Language Processing with PyTorch (Janani Ravi, 2019)/5. Performing Sentiment Analysis Using Word Embeddings/07. Data Cleaning and Preparation.mp4 18.5 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/2. Creating PyTorch Solutions on AWS/07. Creating a SageMaker Notebook Instance.mp4 18.2 MB
B1. Image Classification with PyTorch (Janani Ravi, 2019)/4. Introducing Convolutional Neural Networks/7. Applying Convolutional and Pooling Layers.mp4 18.1 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/3. Creating PyTorch Solutions on Azure/08. Instantiating the PyTorch Estimator for Distributed Training.mp4 18.1 MB
C3. Deploying PyTorch Models in Production. PyTorch Playbook (Janani Ravi, 2019)/5. Deploying PyTorch Models to Production/7. Creating and Using a Clipper Cluster for Prediction.mp4 17.9 MB
A3. Using PyTorch in the Cloud. PyTorch Playbook (Janani Ravi, 2019)/4. Creating PyTorch Solutions on the Google Cloud Platform/3. Setting up a Cloud Datalab VM.mp4 17.7 MB

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

收录时间:2022-05-05 文档个数:319 文档大小:844.6 MB 最近下载:2025-05-16 人气:8164 磁力链接

1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/exercise.7z 45.6 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/4. Building a Recurrent Neural Network Using Tensorflow/2. Demo - Implement a Recurrent Neural Network Using TensorFlow.mp4 35.1 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/09. Demo - Building, Training, and Evaluating a Neural Network.mp4 20.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/5. Convolutional Layers.mp4 18.5 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Introducing the Recurrent Neural Networks/4. Different Types and Architectures of RNN.mp4 17.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/4. Next Steps/3. Deep Learning Tools and Frameworks.mp4 16.5 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/07. Demo - Preparing the Data - Part 1.mp4 15.4 MB
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/2. Understanding the Basics of Neural Networks/4. Explore Activation Functions in NNs.mp4 15.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/06. Demo - Basic Dataset Exploration.mp4 15.0 MB
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)/exercise.7z 14.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/08. Demo - Preparing the Data - Part 2.mp4 13.5 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/2. Artificial Neural Networks.mp4 13.4 MB
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)/4. Case Study on Appropriate Normalization Technique/3. Demo - Create A Deep Learning Model With Normalization.mp4 12.4 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/2. Introduction to Deep Learning/3. Applications of Deep Learning in the Industry.mp4 12.0 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/2. Introduction/3. How Computers See Images.mp4 12.0 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/5. Understand the Back-propagation.mp4 11.9 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/3. Understanding Neural Network’s Structure and Operations/3. Introducing Activation Functions.mp4 11.6 MB
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)/2. Introducing Artificial Neural Networks/2. Inspiration from Biological Neurons.mp4 10.8 MB
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)/3. Exploring Convolutional Neural Network Architecture/3. Model Training.mp4 10.7 MB
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)/3. The Inner Workings of Deep Learning/04. The Design and Working of a Neural Network.mp4 10.6 MB

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