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【影视】 Packtpub - Learning Android N Application Development

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1 Introduction/Tools – Android Studio and Emulators - Learning Android N Application Development [Video].mp4 34.9 MB
1 Introduction/Tools Overview - Learning Android N Application Development [Video].mp4 28.2 MB
1 Introduction/Basics of Android - Learning Android N Application Development [Video].mp4 23.0 MB
1 Introduction/The Course Overview - Learning Android N Application Development [Video].mp4 17.8 MB
1 Introduction/Anatomy of Our app - Learning Android N Application Development [Video].mp4 6.7 MB
2 UI of the Application/Home Page Card Implementation - Learning Android N Application Development [Video].mp4 132.5 MB
2 UI of the Application/Implementing the ArrayAdapter - Learning Android N Application Development [Video].mp4 46.4 MB
2 UI of the Application/The Details Page - Learning Android N Application Development [Video].mp4 29.3 MB
2 UI of the Application/Enabling Navigation - Learning Android N Application Development [Video].mp4 26.4 MB
2 UI of the Application/NewsArticle, Adapters, and RecyclerView - Learning Android N Application Development [Video].mp4 18.5 MB
2 UI of the Application/Event Handling and Navigation - Learning Android N Application Development [Video].mp4 18.4 MB
2 UI of the Application/Hello World - Learning Android N Application Development [Video].mp4 16.9 MB
2 UI of the Application/Android N Multiwindow Features - Learning Android N Application Development [Video].mp4 15.5 MB
2 UI of the Application/Implementing the RecyclerView - Learning Android N Application Development [Video].mp4 14.3 MB
2 UI of the Application/Home Page Card - Learning Android N Application Development [Video].mp4 9.3 MB
2 UI of the Application/UI Section Overview - Learning Android N Application Development [Video].mp4 7.5 MB
2 UI of the Application/Why Android N- - Learning Android N Application Development [Video].mp4 6.1 MB
3 Networking/Retrofit Implementation - Learning Android N Application Development [Video].mp4 38.8 MB
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【影视】 Learning C#

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[TutsNode.com] - Learning C#/15 String operations.mp4 40.0 MB
[TutsNode.com] - Learning C#/19 String parsing.mp4 32.8 MB
[TutsNode.com] - Learning C#/16 String formatting.mp4 32.6 MB
[TutsNode.com] - Learning C#/07 Operators.mp4 30.6 MB
[TutsNode.com] - Learning C#/06 Variables and data types.mp4 28.4 MB
[TutsNode.com] - Learning C#/18 Using StringBuilder.mp4 27.2 MB
[TutsNode.com] - Learning C#/32 String representation.mp4 24.0 MB
[TutsNode.com] - Learning C#/30 Defining properties.mp4 23.4 MB
[TutsNode.com] - Learning C#/24 Reference and out parameters.mp4 23.2 MB
[TutsNode.com] - Learning C#/14 Exceptions.mp4 21.7 MB
[TutsNode.com] - Learning C#/08 Writing C# comments.mp4 21.3 MB
[TutsNode.com] - Learning C#/31 Inheritance.mp4 20.9 MB
[TutsNode.com] - Learning C#/11 For loops.mp4 20.7 MB
[TutsNode.com] - Learning C#/05 Hello World C#.mp4 19.8 MB
[TutsNode.com] - Learning C#/29 Access modifiers.mp4 19.5 MB
[TutsNode.com] - Learning C#/17 String interpolation.mp4 19.1 MB
[TutsNode.com] - Learning C#/33 Challenge Bank.mp4 17.5 MB
[TutsNode.com] - Learning C#/28 Defining C# classes.mp4 16.9 MB
[TutsNode.com] - Learning C#/09 Conditionals with if.mp4 16.6 MB
[TutsNode.com] - Learning C#/34 Solution Bank.mp4 16.1 MB

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【影视】 [GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

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11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

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【影视】 Deep Learning - Convolutional Neural Networks with TensorFlow

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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB

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【影视】 [CourseClub.NET] Coursera - Introduction to Deep Learning

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001.Specialization Promo/001. Welcome to AML specialization!.mp4 14.3 MB
001.Specialization Promo/001. Welcome to AML specialization!.srt 4.8 kB
002.Course intro/002. Course intro.mp4 23.2 MB
002.Course intro/002. Course intro.srt 9.0 kB
003.Linear model as the simplest neural network/003. Linear regression.mp4 37.5 MB
003.Linear model as the simplest neural network/003. Linear regression.srt 13.7 kB
003.Linear model as the simplest neural network/004. Linear classification.mp4 44.7 MB
003.Linear model as the simplest neural network/004. Linear classification.srt 16.8 kB
003.Linear model as the simplest neural network/005. Gradient descent.mp4 19.9 MB
003.Linear model as the simplest neural network/005. Gradient descent.srt 7.6 kB
004.Regularization in machine learning/006. Overfitting problem and model validation.mp4 27.7 MB
004.Regularization in machine learning/006. Overfitting problem and model validation.srt 10.0 kB
004.Regularization in machine learning/007. Model regularization.mp4 20.8 MB
004.Regularization in machine learning/007. Model regularization.srt 7.6 kB
005.Stochastic methods for optimization/008. Stochastic gradient descent.mp4 22.1 MB
005.Stochastic methods for optimization/008. Stochastic gradient descent.srt 8.0 kB
005.Stochastic methods for optimization/009. Gradient descent extensions.mp4 38.3 MB
005.Stochastic methods for optimization/009. Gradient descent extensions.srt 13.7 kB
006.The simplest neural network MLP/010. Multilayer perceptron (MLP).mp4 46.8 MB
006.The simplest neural network MLP/010. Multilayer perceptron (MLP).srt 19.0 kB

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【影视】 LinkedIn Learning - Learning GitHub Actions

收录时间:2021-03-21 文档个数:79 文档大小:216.4 MB 最近下载:2025-05-15 人气:3073 磁力链接

14- Use an action from the Marketplace.mp4 11.2 MB
17- Using environment variables.mp4 9.4 MB
38- Publish an action to the Marketplace.mp4 9.2 MB
16- Passing arguments to an action.mp4 9.2 MB
19- Using artifacts.mp4 9.1 MB
32- Use runtime environment resources.mp4 9.0 MB
06- Workflow and Action attributes.mp4 8.3 MB
18- Using secrets.mp4 8.2 MB
29- Dockerfile review.mp4 8.1 MB
33- Test an action locally.mp4 7.8 MB
27- Plan a custom action.mp4 7.6 MB
09- Add actions to a workflow.mp4 7.4 MB
20- Manage pull requests.mp4 7.3 MB
01- Automating with GitHub Actions.mp4 6.6 MB
37- Deploy a custom action.mp4 6.6 MB
23- Building and managing artifacts.mp4 6.3 MB
10- Run a workflow.mp4 6.0 MB
05- Your first Action.mp4 5.4 MB
35- Add a metadata file.mp4 5.2 MB
34- Complete the entry-point script.mp4 4.9 MB

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【影视】 [ CourseMega.com ] Udemy - Mathematical Foundations of Machine Learning (Updated 09 - 2021)

收录时间:2022-01-09 文档个数:212 文档大小:4.6 GB 最近下载:2025-05-15 人气:4737 磁力链接

~Get Your Files Here !/08 - Automatic Differentiation/006 Machine Learning with Autodiff.mp4 223.5 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/004 Eigenvectors and Eigenvalues.mp4 212.1 MB
~Get Your Files Here !/09 - Partial Derivative Calculus/002 What Partial Derivatives Are.mp4 189.1 MB
~Get Your Files Here !/09 - Partial Derivative Calculus/013 The Gradient of Mean Squared Error.mp4 174.5 MB
~Get Your Files Here !/09 - Partial Derivative Calculus/001 Segment Intro.mp4 141.2 MB
~Get Your Files Here !/05 - Matrix Operations for Machine Learning/005 Regression with the Pseudoinverse.mp4 140.7 MB
~Get Your Files Here !/01 - Data Structures for Linear Algebra/002 What Linear Algebra Is.mp4 139.5 MB
~Get Your Files Here !/08 - Automatic Differentiation/005 The Line Equation as a Tensor Graph.mp4 122.3 MB
~Get Your Files Here !/06 - Limits/007 Calculating Limits.mp4 107.3 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/001 Segment Intro.mp4 106.5 MB
~Get Your Files Here !/05 - Matrix Operations for Machine Learning/004 The Moore-Penrose Pseudoinverse.mp4 102.5 MB
~Get Your Files Here !/05 - Matrix Operations for Machine Learning/003 Data Compression with SVD.mp4 101.7 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/003 Affine Transformations.mp4 100.6 MB
~Get Your Files Here !/01 - Data Structures for Linear Algebra/006 Scalars.mp4 96.6 MB
~Get Your Files Here !/09 - Partial Derivative Calculus/010 Point-by-Point Regression.mp4 95.1 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/008 Determinants and Eigenvalues.mp4 93.7 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/009 Eigendecomposition.mp4 88.0 MB
~Get Your Files Here !/05 - Matrix Operations for Machine Learning/002 Singular Value Decomposition.mp4 80.4 MB
~Get Your Files Here !/04 - Eigenvectors and Eigenvalues/010 Eigenvector and Eigenvalue Applications.mp4 79.4 MB
~Get Your Files Here !/06 - Limits/005 Calculus of the Infinitesimals.mp4 79.0 MB

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【影视】 [FreeCourseWorld.Com] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On!

收录时间:2021-04-29 文档个数:228 文档大小:3.8 GB 最近下载:2025-05-15 人气:2007 磁力链接

03 Exploratory Data Analysis/047 Lab Preparing Data for TF-IDF with Spark and EMR Part 3.mp4 133.9 MB
05 ML Implementation and Operations/106 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 3.mp4 97.2 MB
04 Modeling/051 Convolutional Neural Networks.mp4 93.4 MB
03 Exploratory Data Analysis/046 Lab Preparing Data for TF-IDF with Spark and EMR Part 2.mp4 87.7 MB
03 Exploratory Data Analysis/029 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 86.8 MB
05 ML Implementation and Operations/105 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 2.mp4 84.6 MB
04 Modeling/094 Lab Tuning a Convolutional Neural Network on EC2 Part 2.mp4 84.4 MB
01 Introduction/002 Course Introduction What to Expect.mp4 82.0 MB
04 Modeling/093 Lab Tuning a Convolutional Neural Network on EC2 Part 1.mp4 81.8 MB
06 Wrapping Up/109 Test-Taking Strategies and What to Expect.mp4 75.6 MB
04 Modeling/079 Reinforcement Learning in SageMaker.mp4 71.5 MB
04 Modeling/049 Introduction to Deep Learning.mp4 66.7 MB
04 Modeling/052 Recurrent Neural Networks.mp4 62.4 MB
04 Modeling/095 Lab Tuning a Convolutional Neural Network on EC2 Part 3.mp4 59.3 MB
03 Exploratory Data Analysis/040 Imputing Missing Data.mp4 55.9 MB
02 Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp4 55.4 MB
03 Exploratory Data Analysis/043 Binning Transforming Encoding Scaling and Shuffling.mp4 55.2 MB
04 Modeling/061 Introducing Amazon SageMaker.mp4 53.8 MB
04 Modeling/087 Amazon Rekognition.mp4 53.1 MB
03 Exploratory Data Analysis/042 Handling Outliers.mp4 52.9 MB

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【影视】 LinkedIn Learning - Vue.js - Working with APIs

收录时间:2021-03-17 文档个数:36 文档大小:320.5 MB 最近下载:2025-05-15 人气:2303 磁力链接

13- State management with Vuex.mp4 30.4 MB
08- Looping through your state.mp4 28.6 MB
12- Working with external APIs.mp4 26.6 MB
16- Displaying Firebase data.mp4 26.3 MB
10- Lifecycles and the Fetch API.mp4 24.1 MB
09- Using the HTML Audio API.mp4 23.5 MB
04- Adding additional modules.mp4 23.2 MB
05- Theming our installation.mp4 22.3 MB
07- Using state in sub-components.mp4 18.7 MB
11- Connecting with Axios.mp4 18.2 MB
14- Creating Vuex actions.mp4 17.1 MB
15- Installing Firebase.mp4 15.0 MB
06- Working with state.mp4 11.7 MB
03- Installation with Vue CLI.mp4 11.1 MB
17- Modifying data in a multi-user environment.mp4 9.2 MB
01- Using APIs with Vue.js.mp4 6.6 MB
18- Next steps.mp4 4.8 MB
02- Using the exercises for this course.mp4 3.1 MB
13- State management with Vuex.en.srt 16.9 kB
16- Displaying Firebase data.en.srt 16.2 kB

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【影视】 [ TutPig.com ] Skillshare - Engaging Online Learning - Virtual Classroom Master Class

收录时间:2022-03-15 文档个数:99 文档大小:958.5 MB 最近下载:2025-05-15 人气:1194 磁力链接

~Get Your Files Here !/15. Practice Session in Zoom.mp4 140.7 MB
~Get Your Files Here !/14. Practice Session in MS Teams.mp4 120.8 MB
~Get Your Files Here !/13. Practice Session in Google Meet.mp4 109.9 MB
~Get Your Files Here !/12. Technical Set up.mp4 86.2 MB
~Get Your Files Here !/11. Session Planning Part 2.mp4 74.4 MB
~Get Your Files Here !/10. Presentation Slides Essentials.mp4 68.3 MB
~Get Your Files Here !/16. The Main Event.mp4 66.9 MB
~Get Your Files Here !/03. Interactive Tools in the Virtual Classroom.mp4 64.4 MB
~Get Your Files Here !/02. Session Planning Part 1.mp4 55.5 MB
~Get Your Files Here !/09. Interactive Tool #1.mp4 31.0 MB
~Get Your Files Here !/01. Introduction (About this Class).mp4 30.2 MB
~Get Your Files Here !/07. Interactive Tool #3.mp4 30.2 MB
~Get Your Files Here !/04. Interactive Tools Outside the Virtual Classroom.mp4 22.6 MB
~Get Your Files Here !/05. Interactive Tool #5.mp4 19.8 MB
~Get Your Files Here !/08. Interactive Tool #2.mp4 19.5 MB
~Get Your Files Here !/06. Interactive Tool #4.mp4 10.2 MB
~Get Your Files Here !/Presentation Template - Virtual Classroom Master Class.pptx.pptx 7.3 MB
~Get Your Files Here !/15. Practice Session in Zoom-fr.vtt 13.6 kB
~Get Your Files Here !/15. Practice Session in Zoom-de.vtt 13.6 kB
~Get Your Files Here !/15. Practice Session in Zoom-pt.vtt 13.0 kB

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【影视】 Coursera - Neural Networks and Machine Learning, Geoffrey Hinton University of Toronto

收录时间:2017-02-15 文档个数:49 文档大小:558.5 MB 最近下载:2025-05-15 人气:965 磁力链接

1 - 1 - Why do we need machine learning [13 min].mp4 15.8 MB
1 - 2 - What are neural networks [8 min].mp4 10.2 MB
1 - 3 - Some simple models of neurons [8 min].mp4 9.7 MB
1 - 4 - A simple example of learning [6 min].mp4 6.9 MB
1 - 5 - Three types of learning [8 min].mp4 9.4 MB
10 - 1 - Why it helps to combine models [13 min].mp4 15.9 MB
10 - 2 - Mixtures of Experts [13 min].mp4 15.7 MB
10 - 3 - The idea of full Bayesian learning [7 min].mp4 8.8 MB
10 - 4 - Making full Bayesian learning practical [7 min].mp4 8.5 MB
10 - 5 - Dropout [9 min].mp4 10.2 MB
2 - 1 - Types of neural network architectures [7 min].mp4 9.2 MB
2 - 2 - Perceptrons The first generation of neural networks [8 min].mp4 9.8 MB
2 - 3 - A geometrical view of perceptrons [6 min].mp4 7.7 MB
2 - 4 - Why the learning works [5 min].mp4 6.2 MB
2 - 5 - What perceptrons cant do [15 min].mp4 17.4 MB
3 - 1 - Learning the weights of a linear neuron [12 min].mp4 14.2 MB
3 - 2 - The error surface for a linear neuron [5 min].mp4 6.2 MB
3 - 3 - Learning the weights of a logistic output neuron [4 min].mp4 4.6 MB
3 - 4 - The backpropagation algorithm [12 min].mp4 14.0 MB
3 - 5 - Using the derivatives computed by backpropagation [10 min].mp4 11.7 MB

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