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【压缩文件】 Udemy.The.Piano.Journey.The.Definitive.Piano.Learning.Experience.TUTORIAL

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【压缩文件】 [UdemyCourseDownloader] Complete Guide to TensorFlow for Deep Learning with Python

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01. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
01. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
06. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
07. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
05. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
09. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
08. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
08. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
07. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
08. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
08. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
09. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
06. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
06. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
03. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Data Structures & Algorithms in Python from Scratch.zip

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【压缩文件】 Learning Irish.rar

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

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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

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【压缩文件】 Pluralsight Path. Machine Learning Literacy. Practical Application (2021)

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5. Machine Learning for Retail (Janani Ravi, 2021)/exercise.7z 39.2 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/5. Demo - Regression Analysis Using a Single Predictor.mp4 14.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/2. Introducing Data-driven Decision Making/4. Steps in Data-driven Decision Making.mp4 14.1 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/8. Demo - Paired Samples t-test.mp4 14.0 MB
4. Machine Learning for Financial Services (Janani Ravi, 2021)/exercise.7z 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Healthcare/8. Convolutional Neural Networks to Work with Images.mp4 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/5. Demo - Predicting Liver Disease - Performing Classification.mp4 13.8 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/2. Understanding Descriptive Statistics and Probability Distributions/12. Demo - Skewness and Kurtosis.mp4 13.6 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/4. Case Study BADIR Framework - Winery and Wedding Event Company.mp4 13.4 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/3. Demo - Predicting Blood Pressure - Performing Regression.mp4 13.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/1. Case Study - Hospitality Industry.mp4 13.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/6. Porters Five Forces Framework.mp4 13.1 MB
1. Key Concepts Machine Learning (Janani Ravi, 2021)/4. Applying Machine Learning to Complex Data/6. Applying Machine Learning to Speech Data.mp4 13.1 MB
5. Machine Learning for Retail (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Retail/09. Machine Learning for Visual Search.mp4 13.0 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/6. Demo - Two Sample t-test Part I.mp4 12.7 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/4. Case Study - Diagnosis Using Medical Imaging/1. Diagnosis Using Medical Imaging - Background and Context.mp4 12.5 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/1. Data-enabled Decision Theory.mp4 12.5 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/3. Case Study - Disease Detection Using Machine Learning/1. Chronic Disease Detection - Background and Context.mp4 12.5 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/6. Demo - Preprocessing Data for Multiple Regression.mp4 12.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/2. Case Study - Digital Gaming Platform.mp4 12.4 MB

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【压缩文件】 desire-course.-net-udemy-python-for-computer-vision-with-open-cv-and-deep-learning

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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB

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【压缩文件】 [GigaCourse.Com] ZeroToMastery - PyTorch for Deep Learning

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【压缩文件】 Learning For Peak Performance Learn Faster, Perform Better

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Learning For Peak Performance Learn Faster, Perform Better.zip 2.6 GB
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【压缩文件】 [Tutorialsplanet.NET] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

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06 - Module 2 - Object Detection with SSD/9952396-Training-SSD.zip 2.9 GB
07 - Homework Challenge - Detect Epic Horses galloping in Monument Valley/002 Homework Challenge - Solution (Video).mp4 231.0 MB
04 - Homework Challenge - Build a Happiness Detector/002 Homework Challenge - Solution (Video).mp4 185.0 MB
06 - Module 2 - Object Detection with SSD/009 Object Detection - Step 9.mp4 175.6 MB
09 - Module 3 - Image Creation with GANs/012 GANs - Step 12.mp4 157.9 MB
08 - Module 3 - Generative Adversarial Networks (GANs) Intuition/006 Applications of GANs.mp4 133.3 MB
07 - Homework Challenge - Detect Epic Horses galloping in Monument Valley/9957596-Homework.zip 127.2 MB
05 - Module 2 - Object Detection Intuition/002 How SSD is different.mp4 112.6 MB
10 - Annex 1 Artificial Neural Networks/001 What is Deep Learning.mp4 108.0 MB
06 - Module 2 - Object Detection with SSD/001 Object Detection - Step 1.mp4 101.2 MB
09 - Module 3 - Image Creation with GANs/009 GANs - Step 9.mp4 93.6 MB
11 - Annex 2 Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
09 - Module 3 - Image Creation with GANs/005 GANs - Step 5.mp4 80.8 MB
06 - Module 2 - Object Detection with SSD/010 Object Detection - Step 10.mp4 75.7 MB
11 - Annex 2 Convolutional Neural Networks/002 What are convolutional neural networks.mp4 74.5 MB
09 - Module 3 - Image Creation with GANs/002 GANs - Step 2.mp4 72.5 MB
03 - Module 1 - Face Detection with OpenCV/002 Installations Instructions (once and for all!).mp4 71.1 MB
03 - Module 1 - Face Detection with OpenCV/009 Face Detection - Step 6.mp4 70.2 MB
11 - Annex 2 Convolutional Neural Networks/003 Step 1 - Convolution Operation.mp4 68.8 MB
02 - Module 1 - Face Detection Intuition/007 Adaptive Boosting (Adaboost).mp4 61.4 MB

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【压缩文件】 Full stack web development machine learning and AI integrations HTML Javascript Python Django

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

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