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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part1.rar 7.5 GB
[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part2.rar 7.5 GB
[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part3.rar 7.5 GB
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【压缩文件】 [GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning

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[GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part1.rar 8.6 GB
[GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning.part2.rar 7.4 GB

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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence

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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part1.rar 4.3 GB
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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence

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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part1.rar 4.3 GB
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【压缩文件】 [ FreeCourseWeb.com ] Packt - PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications.zip

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[ FreeCourseWeb.com ] Packt - PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications.zip 5.0 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip

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[ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip 3.1 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】 [ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip

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[ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip 2.6 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip

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[ DevCourseWeb.com ] Udemy - AWS SageMaker Complete Course PyTorch & Tensorflow in NLP.zip 2.4 GB

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【压缩文件】 [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip

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[ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Expediting Deep Learning with Transfer Learning- PyTorch Playbook.zip

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[ FreeCourseWeb.com ] PluralSight - Expediting Deep Learning with Transfer Learning- PyTorch Playbook.zip 1.7 GB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Hands-on Computer Vision with PyTorch 1.x- Implement state-of-the art CV models in modern Pytorch.zip

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[ FreeCourseWeb.com ] Packt - Hands-on Computer Vision with PyTorch 1.x- Implement state-of-the art CV models in modern Pytorch.zip 1.6 GB

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【压缩文件】 [HiOrla.com] Udemy-practical-deep-learning-with-pytorch.zip

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[HiOrla.com] Udemy-practical-deep-learning-with-pytorch.zip 1.1 GB

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【压缩文件】 [HiOrla.com] Udemy - practical-deep-learning-with-pytorch.zip

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[HiOrla.com] Udemy - practical-deep-learning-with-pytorch.zip 1.1 GB

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【压缩文件】 Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)

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exercise.7z 663.6 MB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4 26.2 MB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4 23.9 MB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4 19.1 MB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4 17.9 MB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4 15.3 MB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4 13.4 MB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4 13.0 MB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4 11.6 MB
5. Using Deep Learning for NLP/10. Batch Data Loading.mp4 10.9 MB
7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4 10.7 MB
6. Going from Prototype to Production/7. Deploy the Production Image.mp4 10.3 MB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4 10.1 MB
6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4 9.9 MB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4 9.3 MB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4 9.1 MB
5. Using Deep Learning for NLP/09. Text Pre-processing.mp4 8.3 MB
3. Setting up a Development Environment/3. Other Dev Environment Options.mp4 6.7 MB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4 6.3 MB
2. Exploring the fastai Library/2. Introducing the fastai Library.mp4 6.0 MB

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【压缩文件】 Introduction to PyTorch and Machine Learning

收录时间:2021-03-24 文档个数:4 文档大小:982.1 MB 最近下载:2025-02-25 人气:558 磁力链接

Introduction to PyTorch and Machine Learning.zip 982.1 MB
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【压缩文件】 Pytorch for Deep Learning and Computer Vision

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Pytorch for Deep Learning and Computer Vision.zip 746.1 MB
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【压缩文件】 Deep Learning Projects with PyTorch [Video]

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Exercise Files/code_33630.zip 103.9 MB
1.Getting Ready with PyTorch/02.Using PyTorch.mp4 40.7 MB
1.Getting Ready with PyTorch/03.Understanding Regression.mp4 13.0 MB
1.Getting Ready with PyTorch/04.Linear Regression and Logistic Regression.mp4 34.5 MB
2.Convolutional Neural Network/05.Understanding Convolutional Neural Network.mp4 17.9 MB
2.Convolutional Neural Network/06.Looking into Images from a Machine Perspective.mp4 23.4 MB
2.Convolutional Neural Network/07.Making CNN.mp4 33.7 MB
2.Convolutional Neural Network/08.Pooling Layers.mp4 19.5 MB
2.Convolutional Neural Network/09.Output Layer.mp4 21.5 MB
3.Understanding RNN and LSTM/10.Understanding Recurrent Neural Network.mp4 29.4 MB
3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4 31.1 MB
3.Understanding RNN and LSTM/12.Why LSTM.mp4 52.1 MB
3.Understanding RNN and LSTM/13.Moving to LSTM.mp4 10.6 MB
4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4 27.2 MB
4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4 27.8 MB
4.Using Autoencoders for Fraud Detection/16.Getting Output.mp4 8.6 MB
5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4 41.6 MB
5.Recommending a Movie with Boltzmann Machines/18.Getting Ready for Recommender System.mp4 18.5 MB
5.Recommending a Movie with Boltzmann Machines/19.Making Boltzmann Machines.mp4 60.9 MB
5.Recommending a Movie with Boltzmann Machines/20.Getting Output.mp4 4.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip

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[ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip 707.4 MB

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【压缩文件】 Modern Deep Convolutional Neural Networks with PyTorch

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Modern Deep Convolutional Neural Networks with PyTorch.zip 707.0 MB
Download more courses.url 123 Bytes
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