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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip

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[ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip 2.5 GB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Deep Learning with Java.zip

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[ FreeCourseWeb.com ] Packt - Deep Learning with Java.zip 405.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - How To Create A Learning Management System With Wordpress.zip

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[ FreeCourseWeb.com ] Udemy - How To Create A Learning Management System With Wordpress.zip 855.7 MB

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【压缩文件】 Learning Java using JShell

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Learning Java using JShell.zip 1.8 GB
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【压缩文件】 K-Means for Cluster Analysis and Unsupervised Learning

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K-Means for Cluster Analysis and Unsupervised Learning.zip 576.9 MB
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【压缩文件】 [ TutPig.com ] Udemy - Face Recognition Web App with Machine Learning Django Heroku.zip

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[ TutPig.com ] Udemy - Face Recognition Web App with Machine Learning Django Heroku.zip 3.0 GB

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【压缩文件】 [ TutPig.com ] Lynda - Learning Data Analytics.zip

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[ TutPig.com ] Lynda - Learning Data Analytics.zip 1.0 GB

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【压缩文件】 [ FreeCourseWeb.com ] The Machine Learning and Data Science Course.zip

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[ FreeCourseWeb.com ] The Machine Learning and Data Science Course.zip 118.1 MB

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【压缩文件】 [ CourseMega.com ] Udemy - Deep Learning - Recurrent Neural Networks in Python 2021.zip

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[ CourseMega.com ] Udemy - Deep Learning - Recurrent Neural Networks in Python 2021.zip 3.8 GB

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【压缩文件】 [ DevCourseWeb.com ] PluralSight - Exploring Java Machine Learning Environments.zip

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[ DevCourseWeb.com ] PluralSight - Exploring Java Machine Learning Environments.zip 347.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Computer Vision & Deep Learning in Python- Novice to Expert.zip

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[ FreeCourseWeb.com ] Udemy - Computer Vision & Deep Learning in Python- Novice to Expert.zip 8.3 GB

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【压缩文件】 [ CourseWikia.com ] Udemy - Deep Learning Projects Masterclass 2021 - Build AI Web Apps.zip

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[ CourseWikia.com ] Udemy - Deep Learning Projects Masterclass 2021 - Build AI Web Apps.zip 2.7 GB

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【压缩文件】 5 Courses - Master AWS, Analytics, Machine Learning, Bigdata

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5 Courses - Master AWS, Analytics, Machine Learning, Bigdata.zip 7.2 GB
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【压缩文件】 [ DevCourseWeb.com ] Hyperparameter Optimization for Machine Learning (Update).zip

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[ DevCourseWeb.com ] Hyperparameter Optimization for Machine Learning (Update).zip 3.8 GB

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【压缩文件】 Deep Learning. The Big Picture (Matthew Renze, 2018)

收录时间:2022-05-05 文档个数:77 文档大小:291.2 MB 最近下载:2025-05-14 人气:2930 磁力链接

exercise.7z 56.5 MB
5. Applications/6. Video.mp4 26.4 MB
5. Applications/4. Images.mp4 19.3 MB
6. Impact/4. Future.mp4 16.6 MB
6. Impact/3. Trends.mp4 14.4 MB
5. Applications/7. Future.mp4 13.5 MB
3. Deep Learning/6. Deep Neural Networks.mp4 12.6 MB
4. Techniques/5. Generative Adversarial Networks.mp4 11.2 MB
7. Next Steps/4. Frameworks.mp4 9.3 MB
7. Next Steps/2. Services.mp4 8.0 MB
3. Deep Learning/4. Artificial Neurons.mp4 6.9 MB
7. Next Steps/3. Platforms.mp4 6.9 MB
4. Techniques/2. Fully Connected Neural Networks.mp4 6.7 MB
3. Deep Learning/5. Neural Networks.mp4 6.5 MB
4. Techniques/3. Convolutional Neural Networks.mp4 6.2 MB
5. Applications/2. Tables.mp4 6.1 MB
4. Techniques/4. Recurrent Neural Networks.mp4 5.8 MB
2. Introduction/1. Introduction.mp4 5.8 MB
6. Impact/2. History.mp4 4.9 MB
5. Applications/3. Text.mp4 4.8 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

猜你喜欢： Pluralsight Learning Deep 2022 Path Literacy

【压缩文件】 Pluralsight Path. Building Deep Learning Solutions with PyTorch (2020)

收录时间:2022-05-06 文档个数:744 文档大小:2.9 GB 最近下载:2025-05-15 人气:5160 磁力链接

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 ] Lynda - Learning BIM 360 Design (2020).zip

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[ FreeCourseWeb.com ] Lynda - Learning BIM 360 Design (2020).zip 1.1 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Dynamic Website Design - PHP MySQL and JavaScript.rar

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[ FreeCourseWeb.com ] Udemy - Learning Dynamic Website Design - PHP MySQL and JavaScript.rar 1.1 GB

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【压缩文件】 Complete Machine Learning & Data Science with R-2019

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Complete Machine Learning & Data Science with R-2019.zip 6.3 GB
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