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2. Python Basics/3. Strings.mp4 10.4 MB
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2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
6. Functions and More/2. Parameters.mp4 9.3 MB
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【影视】 [GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 Packtpub - Learning Express Web Application Development

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001_installing_expressjs_and_commandline_tools.mp4 9.7 MB
002_a_special_note_for_windows_users.mp4 2.3 MB
003_bootstrapping_your_first_app.mp4 8.1 MB
004_what_just_happened.mp4 2.0 MB
005_structure_of_an_expressjs_app.mp4 13.7 MB
006_introducing_the_jade_template_engine.mp4 17.3 MB
007_introducing_stylus.mp4 7.5 MB
008_bootstrap_with_jade_and_stylus.mp4 12.4 MB
009_public_and_static_files.mp4 4.0 MB
010_other_templating_options.mp4 11.1 MB
011_planning_the_structure_of_our_application.mp4 6.6 MB
012_installing_the_necessary_modules.mp4 8.1 MB
013_creating_our_endpoints.mp4 14.1 MB
014_creating_our_applications_user_interface.mp4 11.9 MB
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016_displaying_dynamic_data_with_jade.mp4 19.6 MB
017_why_automate_tests.mp4 5.1 MB
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019_setting_up_test_tools.mp4 15.5 MB
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~Get Your Files Here !/1. Introduction/1. Why This Course.mp4 134.1 MB
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~Get Your Files Here !/4. Computer Vision/13. [Advanced] How to Read a Paper.mp4 111.4 MB
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~Get Your Files Here !/3. Python's Essential Libraries/4. OpenCV.mp4 75.5 MB
~Get Your Files Here !/10. Control Theory/10. PID Controller - Why is it use SO much.mp4 67.0 MB
~Get Your Files Here !/6. Machine Learning Hands-On/9. Useful ML Models.mp4 64.4 MB
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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks with Python

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07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
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~Get Your Files Here !/2 - Part 02 Speaking With Confidence/5 - Speaking with confidence in front of Big Audience.mp4 163.3 MB
~Get Your Files Here !/3 - Part 03 Non Verbal Communication/11 - Non Verbal Body Language of ourself.mp4 150.4 MB
~Get Your Files Here !/2 - Part 02 Speaking With Confidence/4 - How to Speak with Confidence.mp4 122.8 MB
~Get Your Files Here !/4 - Part 04 Written Form of Communication/12 - Written form of communication.mp4 107.1 MB
~Get Your Files Here !/2 - Part 02 Speaking With Confidence/6 - Things to keep in mind while presenting information.mp4 92.8 MB
~Get Your Files Here !/5 - Power Listening Skills/13 - Power Listening Skill.mp4 88.9 MB
~Get Your Files Here !/1 - Part 01/2 - How to develop Communication Management Skills.mp4 81.1 MB
~Get Your Files Here !/1 - Part 01/1 - Introduction.mp4 75.3 MB
~Get Your Files Here !/3 - Part 03 Non Verbal Communication/10 - Non Verbal Body Language of Another Person.mp4 67.2 MB
~Get Your Files Here !/2 - Part 02 Speaking With Confidence/8 - What to do while Answering Information.mp4 56.5 MB
~Get Your Files Here !/2 - Part 02 Speaking With Confidence/7 - What to do when Elaborating Information.mp4 38.7 MB
~Get Your Files Here !/3 - Part 03 Non Verbal Communication/9 - What is Non Verbal Communication.mp4 24.0 MB
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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
7. 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
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
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8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

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