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【影视】 Machine Learning - Modern Computer Vision & Generative AI

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Chapter 3 Object Detection/008. LabelImg Demo.mp4 89.9 MB
Chapter 3 Object Detection/011. Fine-Tuning Object Detection in Python (Built-In Dataset).mp4 87.7 MB
Chapter 3 Object Detection/012. Fine-Tuning Object Detection in Python (Custom Dataset).mp4 77.1 MB
Chapter 4 Generative AI with Stable Diffusion/002. Generate Images with Stable Diffusion in Python.mp4 75.4 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/005. Fine-Tuning an Image Classifier in Python.mp4 75.1 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 68.1 MB
Chapter 4 Generative AI with Stable Diffusion/006. A Look at the Diffusion Model Source Code (Optional).mp4 62.2 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to Install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 49.5 MB
Chapter 3 Object Detection/004. Pre-trained Object Detection in Python.mp4 39.7 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/003. Pre-trained Image Classifier in Python.mp4 38.7 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. Beginner's Coding Tips.mp4 36.9 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. What order should I take your courses in (part 2).mp4 36.3 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (Part 1).mp4 29.9 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. What order should I take your courses in (part 1).mp4 27.9 MB
Chapter 4 Generative AI with Stable Diffusion/003. How Do Diffusion Models Work (Optional).mp4 27.4 MB
Chapter 3 Object Detection/003. Decoding the Output IoU, Non-Max Suppression, Confidence Score.mp4 22.0 MB
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning/002. Concepts Pre-trained Image Classifier.mp4 21.8 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. How to Code Yourself (Part 2).mp4 19.2 MB
Chapter 3 Object Detection/001. Object Detection Outline.mp4 19.2 MB

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【影视】 Machine Learning and Data Science Hands-on with Python and R

收录时间:2024-01-07 文档个数:1054 文档大小:32.4 GB 最近下载:2025-05-16 人气:2155 磁力链接

Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB

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【影视】 Lynda - Learning Design Sprints [AhLaN]

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3 - 2. Day 1/08 - Day 1 applied.mp4 12.4 MB
6 - 5. Day 4/16 - Objective of day 4.mp4 9.9 MB
3 - 2. Day 1/07 - Objective of day 1.mp4 9.5 MB
7 - 6. Day 5/18 - Objective of day 5.mp4 9.1 MB
4 - 3. Day 2/11 - Day 2 applied.mp4 9.0 MB
6 - 5. Day 4/17 - Prototyping tools for day 4.mp4 7.3 MB
7 - 6. Day 5/20 - What to do with the feedback.mp4 6.6 MB
7 - 6. Day 5/19 - Feedback tools for day 5.mp4 6.3 MB
4 - 3. Day 2/10 - Objective of day 2.mp4 6.2 MB
2 - 1. Base Setup/04 - Tools and supplies you'll need.mp4 5.5 MB
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1 - Introduction/01 - Learning design sprints.mp4 4.5 MB
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3 - 2. Day 1/09 - Rules specific to day 1.mp4 2.3 MB
5 - 4. Day 3/15 - Rules specific to day 3.mp4 1.8 MB
4 - 3. Day 2/12 - Rules specific to day 2.mp4 1.8 MB
8 - Conclusion/21 - Next steps.mp4 1.4 MB

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【文档书籍】 Invention_ A Life of Learning Through Failure by James Dyson EPUB

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【影视】 Java Machine Learning for Computer Vision [Video]

收录时间:2018-08-04 文档个数:39 文档大小:839.8 MB 最近下载:2025-05-16 人气:958 磁力链接

4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4 87.7 MB
1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4 10.4 MB
1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4 13.6 MB
1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4 27.9 MB
1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4 14.3 MB
1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4 17.8 MB
1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4 22.9 MB
1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4 16.1 MB
1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4 20.9 MB
1.Introduction to Computer Vision and Training Neural Networks/10.Build a Handwritten Digit Recognizer with 97% Accuracy.mp4 36.0 MB
2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4 19.2 MB
2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4 36.0 MB
2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4 9.3 MB
2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4 11.4 MB
2.Convolution Neural Network Architectures/15.Pooling Layers.mp4 10.6 MB
2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4 12.8 MB
2.Convolution Neural Network Architectures/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4 32.5 MB
3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4 20.0 MB
3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4 12.3 MB
3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4 15.3 MB

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【影视】 [Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

收录时间:2021-04-12 文档个数:215 文档大小:4.9 GB 最近下载:2025-05-16 人气:1440 磁力链接

10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB

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【影视】 A deep understanding of deep learning (with Python intro)

收录时间:2022-03-14 文档个数:759 文档大小:22.9 GB 最近下载:2025-05-16 人气:7678 磁力链接

[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.mp4 176.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.mp4 166.0 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB

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【影视】 [FreeCourseSite.com] Udemy - AWS Certified Machine Learning Specialty 2022 - Hands On!

收录时间:2024-08-28 文档个数:258 文档大小:2.9 GB 最近下载:2025-05-16 人气:100 磁力链接

03 - Exploratory Data Analysis/021 Lab Preparing Data for TF-IDF with Spark and EMR, Part 3.mp4 125.6 MB
03 - Exploratory Data Analysis/020 Lab Preparing Data for TF-IDF with Spark and EMR, Part 2.mp4 103.7 MB
05 - Modeling, Part 2 Amazon SageMaker/027 SageMaker Canvas.mp4 83.4 MB
01 - Introduction/002 Course Introduction What to Expect.mp4 82.0 MB
02 - Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp4 78.9 MB
08 - ML Implementation and Operations/012 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3.mp4 76.5 MB
03 - Exploratory Data Analysis/003 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 76.5 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/003 Lab Tuning a Convolutional Neural Network on EC2, Part 2.mp4 76.3 MB
09 - Wrapping Up/003 Test-Taking Strategies, and What to Expect.mp4 75.6 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/002 Lab Tuning a Convolutional Neural Network on EC2, Part 1.mp4 60.8 MB
05 - Modeling, Part 2 Amazon SageMaker/019 Reinforcement Learning in SageMaker.mp4 56.3 MB
03 - Exploratory Data Analysis/014 Imputing Missing Data.mp4 55.9 MB
05 - Modeling, Part 2 Amazon SageMaker/001 Introducing Amazon SageMaker.mp4 53.8 MB
06 - Modeling, Part 3 High-Level ML Services/005 Amazon Rekognition.mp4 53.0 MB
08 - ML Implementation and Operations/002 SageMaker's Inner Details and Production Variants.mp4 53.0 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/004 Convolutional Neural Networks.mp4 51.7 MB
06 - Modeling, Part 3 High-Level ML Services/008 Amazon Personalize.mp4 46.9 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/004 Lab Tuning a Convolutional Neural Network on EC2, Part 3.mp4 44.5 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/001 Section Intro Modeling.mp4 42.3 MB
03 - Exploratory Data Analysis/017 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 42.2 MB

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【文档书籍】 Boland M. Health Analytics with R. Learning Data Science Using Examples...2024

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【文档书籍】 [NulledPremium.com] Machine Learning Algorithms, 2nd edition

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【影视】 [ TutSala.com ] AlgoExpert - Large-Scale Machine Learning

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~Get Your Files Here !/5 Large-Scale Training/LSML-11-Deep Learning Models.mp4.mp4 161.0 MB
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【影视】 [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

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00 Book List/04.JPG 35.6 kB
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01 Beginners Courses/Active Korean 1.pdf 10.2 MB
01 Beginners Courses/Beginner's Korean Audio.rar 106.3 MB
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