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- 【压缩文件】 InfiniteSkills – Learning Autodesk AutoCAD 3D 2015 Trainging Video.rar
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InfiniteSkills – Learning Autodesk AutoCAD 3D 2015 Trainging Video.rar 925.4 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
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- 【影视】 [DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
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- 【影视】 [FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]
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003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
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- 【压缩文件】 [ FreeCourseWeb ] Lynda - Learning the Arturia Collection.rar
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[ FreeCourseWeb ] Lynda - Learning the Arturia Collection.rar 923.9 MB
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- 【影视】 [FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python
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001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt 16.5 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt 19.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4 13.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt 6.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt 15.2 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt 12.3 kB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.srt 26.8 kB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt 22.7 kB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4 20.5 MB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt 16.2 kB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4 11.8 MB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt 6.9 kB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt 17.5 kB
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- 【影视】 [CourseClub.NET] Coursera - Applied Machine Learning in Python
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003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
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- 【压缩文件】 Learning.Factory.v0.90.186
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Learning.Factory.v0.90.186.rar 923.7 MB
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- 【影视】 [FreeCoursesOnline.Me] [LINKEDIN LEARNING] Job Interview Strategies for UX Designers - [FCO]
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05.Interview Day/05.13.Tips for presenting your portfolio.mp4 79.5 MB
04.Preparing for Your Interview/04.10.Common interview questions.mp4 78.5 MB
03.Prescreen and Phone Interviews/03.04.Recruiters and referrals.mp4 69.2 MB
02.Overview of UX Interviews/02.02.UX career options.mp4 60.1 MB
04.Preparing for Your Interview/04.11.Learning break.mp4 58.0 MB
03.Prescreen and Phone Interviews/03.05.Recruiter prescreen.mp4 55.3 MB
05.Interview Day/05.15.Design teammate interview.mp4 53.2 MB
05.Interview Day/05.14.Whiteboarding exercise.mp4 49.6 MB
03.Prescreen and Phone Interviews/03.06.Manager phone interview.mp4 49.2 MB
05.Interview Day/05.12.Portfolio presentation.mp4 43.2 MB
03.Prescreen and Phone Interviews/03.07.Design exercise.mp4 43.1 MB
05.Interview Day/05.16.Product manager interview.mp4 42.3 MB
04.Preparing for Your Interview/04.09.Research the team.mp4 37.9 MB
04.Preparing for Your Interview/04.08.Research the company.mp4 36.2 MB
06.Post-Interview/06.19.Recruiter check-in.mp4 34.7 MB
02.Overview of UX Interviews/02.03.The UX interview process.mp4 26.4 MB
05.Interview Day/05.18.Hiring manager interview.mp4 23.7 MB
05.Interview Day/05.17.Engineer interview.mp4 23.3 MB
06.Post-Interview/06.20.Evaluating the offer.mp4 21.9 MB
01.Introduction/01.01.UX design interviews are different.mp4 20.9 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】 [ DevCourseWeb.com ] Udemy - Machine Learning In Healthcare - Practical Approach By Orange
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~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/9 - Create Machine Learning Models for Diabetes Prediction.mp4 161.5 MB
~Get Your Files Here !/2 - Introduction to Orange Software/4 - Overview of Orange Workflow.mp4 128.6 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/6 - Brief Review of Reference Article Download Dataset.mp4 122.2 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/7 - Load Dataset in Orange.mp4 79.2 MB
~Get Your Files Here !/2 - Introduction to Orange Software/3 - Download Install Orange Software.mp4 78.8 MB
~Get Your Files Here !/1 - Introduction/2 - Introduction Steps of Machine Learning.mp4 78.0 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/11 - Conclusion and Comparision of Results with Reference Article.mp4 72.7 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/8 - Data Preprocessing Gain Ratio.mp4 54.7 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 46.3 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/10 - Confusion Matrix Prediction.mp4 43.1 MB
~Get Your Files Here !/4 - Exercise 1 Stroke Prediction using Machine Learning/12 - Exercise 1 Stroke Prediction using Machine Learning.mp4 42.1 MB
~Get Your Files Here !/3 - Project 1 Diabetes Prediction using Machine Learning/5 - Reference Article.mp4 15.8 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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~Get Your Files Here !/2 - Introduction to Orange Software/3 - Orange Data Mining Software.txt 29 Bytes
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Learning Computer Communication and Networking Fundamentals
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~Get Your Files Here !/03 Router Simulations/002 Configuration of Static Routing using Cisco packet Tracer.mp4 282.4 MB
~Get Your Files Here !/03 Router Simulations/003 Configuration of Dynamic Routing using Cisco packet Tracer.mp4 111.3 MB
~Get Your Files Here !/03 Router Simulations/004 Configure a Wireless LAN using Cisco Packet Tracer.mp4 76.3 MB
~Get Your Files Here !/02 Server Simulations/002 Simulation of a network consisting of PCs connected to DNS servers using Packet.mp4 74.6 MB
~Get Your Files Here !/01 Introduction/001 Background of Computer Communications.mp4 72.1 MB
~Get Your Files Here !/03 Router Simulations/001 Configuration of ROUTER through Command Line Interface.mp4 63.5 MB
~Get Your Files Here !/02 Server Simulations/004 Simulation of a network consisting of PCs connected to DHCP server.mp4 55.4 MB
~Get Your Files Here !/01 Introduction/002 Introduction to Networking Devices.mp4 53.9 MB
~Get Your Files Here !/02 Server Simulations/001 Simulation of a network consisting of PCs connected to HTTP servers using Packet.mp4 50.2 MB
~Get Your Files Here !/02 Server Simulations/005 Simulation of a network consisting of PCs connected to an Email server.mp4 37.3 MB
~Get Your Files Here !/02 Server Simulations/003 Simulation of a network consisting of PCs connected to FTP server.mp4 27.6 MB
~Get Your Files Here !/01 Introduction/003 Introduction to Packet Tracer.mp4 17.8 MB
~Get Your Files Here !/03 Router Simulations/002 Configuration of Static Routing using Cisco packet Tracer.en.srt 50.6 kB
~Get Your Files Here !/03 Router Simulations/003 Configuration of Dynamic Routing using Cisco packet Tracer.en.srt 15.9 kB
~Get Your Files Here !/03 Router Simulations/004 Configure a Wireless LAN using Cisco Packet Tracer.en.srt 14.3 kB
~Get Your Files Here !/02 Server Simulations/002 Simulation of a network consisting of PCs connected to DNS servers using Packet.en.srt 13.3 kB
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~Get Your Files Here !/03 Router Simulations/001 Configuration of ROUTER through Command Line Interface.en.srt 9.7 kB
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- 【影视】 BBC Learning English [RapidZona.com]. Pronunciation tips
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Pronunciation [RapidZona.com].avi 921.7 MB
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001.Welcome to the Deep Learning Specialization/001. Welcome.mp4 10.7 MB
001.Welcome to the Deep Learning Specialization/001. Welcome.srt 9.0 kB
002.Introduction to Deep Learning/002. What is a neural network.mp4 10.5 MB
002.Introduction to Deep Learning/002. What is a neural network.srt 10.1 kB
002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.mp4 13.5 MB
002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.srt 12.2 kB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4 19.6 MB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.srt 18.3 kB
002.Introduction to Deep Learning/005. About this Course.mp4 4.9 MB
002.Introduction to Deep Learning/005. About this Course.srt 4.5 kB
002.Introduction to Deep Learning/006. Course Resources.mp4 2.6 MB
002.Introduction to Deep Learning/006. Course Resources.srt 3.7 kB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4 201.1 MB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.srt 58.9 kB
004.Logistic Regression as a Neural Network/008. Binary Classification.mp4 16.0 MB
004.Logistic Regression as a Neural Network/008. Binary Classification.srt 10.8 kB
004.Logistic Regression as a Neural Network/009. Logistic Regression.mp4 8.9 MB
004.Logistic Regression as a Neural Network/009. Logistic Regression.srt 7.7 kB
004.Logistic Regression as a Neural Network/010. Logistic Regression Cost Function.mp4 13.8 MB
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001.Welcome to the Deep Learning Specialization/001. Welcome.mp4 10.7 MB
001.Welcome to the Deep Learning Specialization/001. Welcome.srt 9.0 kB
002.Introduction to Deep Learning/002. What is a neural network.mp4 10.5 MB
002.Introduction to Deep Learning/002. What is a neural network.srt 10.1 kB
002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.mp4 13.5 MB
002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.srt 12.2 kB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4 19.6 MB
002.Introduction to Deep Learning/004. Why is Deep Learning taking off.srt 18.3 kB
002.Introduction to Deep Learning/005. About this Course.mp4 4.9 MB
002.Introduction to Deep Learning/005. About this Course.srt 4.5 kB
002.Introduction to Deep Learning/006. Course Resources.mp4 2.6 MB
002.Introduction to Deep Learning/006. Course Resources.srt 3.7 kB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4 201.1 MB
003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.srt 58.9 kB
004.Logistic Regression as a Neural Network/008. Binary Classification.mp4 16.0 MB
004.Logistic Regression as a Neural Network/008. Binary Classification.srt 10.8 kB
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