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- 【影视】 [DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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- 【压缩文件】 Packt Data Science and Machine Learning with Python.rar
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Packt Data Science and Machine Learning with Python.rar 5.5 GB
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- 【影视】 GetFreeCourses.Co-Udemy-AWS Lambda and the Serverless Framework - Hands On Learning!
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10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/004 Adding a Layer Dependency to our Function - Debug Session.mp4 149.8 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/007 Creating a REST API (AWS API Gateway) for Thumbnail Metadata.mp4 147.6 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/006 Update a Todo.mp4 120.8 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/003 Deploying our First Function with Serverless.mp4 108.5 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/008 Setting up SNS and the Mailer Endpoint.mp4 86.7 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/002 Setup the Thumbnail Generator - Code - Part 1.mp4 85.6 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/002 Creating a Todo - API Endpoint - Saving a Todo Through the API End Point.mp4 84.9 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/001 REST API with Python - Code Walkthrough.mp4 82.4 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/002 Testing and Debugging the API.mp4 81.8 MB
08 - AWS Step Functions - An Introduction/005 Choice State - Full Example.mp4 80.9 MB
06 - AWS SAM CLI - Running AWS Lambda Function Locally/002 Creating and Running Our First AWS SAM Application.mp4 80.0 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/005 Setting up DynamoDB for Saving Thumbnail Metadata.mp4 79.2 MB
04 - AWS Lambda & Serverless - Deep Dive/001 Create AWS Lambda Function Using any Runtime.mp4 73.0 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/002 Installing Serverless Framework & Setting up an AWS Profile.mp4 73.0 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/001 Getting Started with Todo REST API - NodeJS.mp4 70.5 MB
24 - Course Content from AWS Certified Developer Course/033 Lambda External Dependencies - Hands On.mp4 69.0 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
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Artificial Intelligence - Full course with Deep learning/1. Full course in single section/24. Deep Learning Using TensorFlow Deep Learning.mp4 678.7 MB
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Artificial Intelligence - Full course with Deep learning/1. Full course in single section/21. Artificial Neural Network Tutorial Deep Learning With Neural Networks.mp4 291.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/26. Keras Tutorial For Beginners Creating Deep Learning Models.mp4 261.9 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/22. Recurrent Neural Networks (RNN) RNN LSTM Deep Learning.mp4 234.5 MB
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Artificial Intelligence - Full course with Deep learning/1. Full course in single section/23. Convolutional Neural Network (CNN) Convolutional Neural Networks.mp4 177.1 MB
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- 【压缩文件】 Udacity - Machine Learning Engineer Nanodegree nd009t.zip
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Udacity - Machine Learning Engineer Nanodegree nd009t.zip 5.5 GB
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- 【其他】 Packt.Python.Deep.Learning.Solutions-XQZT
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ppdls-7c3e-xqzt.nfo 847 Bytes
ppdls-7c3e-xqzt.r00 50.0 MB
ppdls-7c3e-xqzt.r01 50.0 MB
ppdls-7c3e-xqzt.r02 50.0 MB
ppdls-7c3e-xqzt.r03 50.0 MB
ppdls-7c3e-xqzt.r04 50.0 MB
ppdls-7c3e-xqzt.r05 50.0 MB
ppdls-7c3e-xqzt.r06 50.0 MB
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ppdls-7c3e-xqzt.r09 50.0 MB
ppdls-7c3e-xqzt.r10 50.0 MB
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ppdls-7c3e-xqzt.r12 50.0 MB
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ppdls-7c3e-xqzt.r14 50.0 MB
ppdls-7c3e-xqzt.r15 50.0 MB
ppdls-7c3e-xqzt.r16 50.0 MB
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Exercise Files/code_33942.zip 5.1 GB
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1.Deep Learning Frameworks/03.Deep Learning Using CNTK and Gluon Framework.mp4 9.9 MB
2. Feed-Forward Neural Networks/04.Implementing Single and Multi-Layer Neural Network.mp4 28.3 MB
2. Feed-Forward Neural Networks/05.Experiment with Activation Functions, Hidden Layers, and Hidden Units.mp4 26.3 MB
2. Feed-Forward Neural Networks/06.Autoencoder, Loss Function, and Optimizers.mp4 27.5 MB
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3.Convolutional and Recurrent Neural Networks/08.Optimization Techniques for CNNs.mp4 20.1 MB
3.Convolutional and Recurrent Neural Networks/09.Experimenting with Different Types of Initialization.mp4 29.8 MB
3.Convolutional and Recurrent Neural Networks/10.Implementing Simple RNN and LSTM.mp4 17.8 MB
3.Convolutional and Recurrent Neural Networks/11.Implementing GRUs and Bidirectional RNNs.mp4 17.0 MB
4.GANs and Computer Vision/12.Implementing Generative Adversarial Networks.mp4 15.5 MB
4.GANs and Computer Vision/13.Computer Vision Techniques.mp4 22.6 MB
4.GANs and Computer Vision/14.Detecting Facial Key Points and Transferring Styles.mp4 12.5 MB
5.Neural Network Learning and Data Processing/15.Hyper Parameter Selection and Tuning.mp4 19.3 MB
5.Neural Network Learning and Data Processing/16.Speech Recognition.mp4 24.1 MB
5.Neural Network Learning and Data Processing/17.Time Series and Structured Data.mp4 30.3 MB
6.Network Internals and Pretrained Models/18.Visualizing and Analysing Network.mp4 16.4 MB
6.Network Internals and Pretrained Models/19.Freezing and Storing the Network.mp4 11.4 MB
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- 【压缩文件】 Lynda - Learning Path - Design a Logo
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收录时间:2018-09-20
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01 Logo Design - Illustrating Logo Marks/Ex_Files_Illustrating_Logo_Marks.zip 529.7 MB
01 Logo Design - Illustrating Logo Marks/CONTENT.md 1.3 kB
01 Logo Design - Illustrating Logo Marks/info.txt 385 Bytes
01 Logo Design - Illustrating Logo Marks/00. Introduction/01 - Welcome.en.srt 1.6 kB
01 Logo Design - Illustrating Logo Marks/00. Introduction/01 - Welcome.mp4 7.9 MB
01 Logo Design - Illustrating Logo Marks/00. Introduction/02 - Exercise files.en.srt 1.3 kB
01 Logo Design - Illustrating Logo Marks/00. Introduction/02 - Exercise files.mp4 2.9 MB
01 Logo Design - Illustrating Logo Marks/01. Solid Creative Foundation/03 - Drawing your design.en.srt 25.4 kB
01 Logo Design - Illustrating Logo Marks/01. Solid Creative Foundation/03 - Drawing your design.mp4 38.7 MB
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Classes/class1.pdf 1.6 MB
Classes/class2.pdf 178.9 kB
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Classes/class4.pdf 70.0 kB
Lectures/Deep Learning Lecture 1- Introduction.mp4 384.1 MB
Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4 319.0 MB
Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4 386.1 MB
Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4 333.5 MB
Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4 337.5 MB
Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4 276.2 MB
Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4 351.0 MB
Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4 352.7 MB
Lectures/Deep Learning Lecture 2- linear models.mp4 291.2 MB
Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4 436.6 MB
Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4 260.3 MB
Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4 378.7 MB
Lectures/Deep Learning Lecture 6- Optimization.mp4 344.4 MB
Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4 262.7 MB
Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4 299.7 MB
Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4 332.6 MB
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Classes/class1.pdf 1.6 MB
Classes/class2.pdf 178.9 kB
Classes/class3.pdf 172.5 kB
Classes/class4.pdf 70.0 kB
Lectures/Deep Learning Lecture 1- Introduction.mp4 384.1 MB
Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4 319.0 MB
Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4 386.1 MB
Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4 333.5 MB
Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4 337.5 MB
Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4 276.2 MB
Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4 351.0 MB
Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4 352.7 MB
Lectures/Deep Learning Lecture 2- linear models.mp4 291.2 MB
Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4 436.6 MB
Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4 260.3 MB
Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4 378.7 MB
Lectures/Deep Learning Lecture 6- Optimization.mp4 344.4 MB
Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4 262.7 MB
Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4 299.7 MB
Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4 332.6 MB
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Oxford-Deep Learning/Practicals/practical2.pdf 173.6 kB
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Oxford-Deep Learning/Practicals/practical1.pdf 183.1 kB
Oxford-Deep Learning/Practicals/practical6.pdf 228.4 kB
Oxford-Deep Learning/Practicals/practical3.pdf 253.8 kB
Oxford-Deep Learning/Practicals/practical5.pdf 277.6 kB
Oxford-Deep Learning/Practicals/practical4.pdf 425.1 kB
Oxford-Deep Learning/Classes/class1.pdf 1.6 MB
Oxford-Deep Learning/Lectures/lecture2.pdf 3.3 MB
Oxford-Deep Learning/Lectures/lecture1.pdf 3.8 MB
Oxford-Deep Learning/Lectures/lecture7.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture9.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture10.pdf 4.2 MB
Oxford-Deep Learning/Lectures/lecture11.pdf 4.8 MB
Oxford-Deep Learning/Lectures/lecture6.pdf 5.4 MB
Oxford-Deep Learning/Lectures/lecture5.pdf 5.7 MB
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Oxford-Deep Learning/Lectures/lecture8.pdf 7.0 MB
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