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【压缩文件】 [LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses

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Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 152.8 MB
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 46.3 MB
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/1. Introduction to vectors.mp4 31.4 MB
Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 26.6 MB
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/2. Applications of linear algebra in ML.mp4 23.9 MB
Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 22.0 MB
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 20.1 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.mp4 18.2 MB
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.mp4 18.0 MB
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/1. Solving linear equations using Gaussian elimination.mp4 17.9 MB
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/1. Match patterns.mp4 16.3 MB
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).mp4 16.3 MB
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.mp4 15.9 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.mp4 15.8 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/2. Natural language processing.mp4 15.2 MB
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/2. Transforming to the new basis.mp4 15.1 MB
Hands-On PyTorch Machine Learning/5 - Torchtext/2. Torchtext for translation.mp4 15.0 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/1. Robotics.mp4 14.9 MB
Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 14.9 MB
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.mp4 14.8 MB

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【压缩文件】 Getting.Out.Alive.rar

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【压缩文件】 Getting Intimate Chapters 1-2 Part A.rar

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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