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【影视】 [FreeCourseSite.com] Udemy - Neural Networks in Python Deep Learning for Beginners

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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【影视】 [GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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【影视】 [ TutGator.com ] Udemy - Basic Numerical Methods - Numerical Analysis for M - c Learning

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~Get Your Files Here !/2. Interpolation with equal Intervals/3. Various methods of Interpolation.mp4 239.8 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/5. Illustration1.mp4 212.0 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/12. Illustration2.mp4 200.9 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/11. Illustration1.mp4 189.5 MB
~Get Your Files Here !/3. Interpolation with unequal Intervals/2. Lagrange's Interpolation Formula.mp4 171.5 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/6. Illustration2.mp4 165.8 MB
~Get Your Files Here !/1. Introduction/1. Intoduction and The Forward Differences.mp4 162.7 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/4. Newton Gregory MethodFormula.mp4 156.6 MB
~Get Your Files Here !/1. Introduction/3. Illustration1.mp4 151.5 MB
~Get Your Files Here !/1. Introduction/6. Properties of Difference Operator.mp4 139.2 MB
~Get Your Files Here !/1. Introduction/12. Illustration6.mp4 124.2 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/1. Interpolation with equal Intervals Introduction.mp4 115.0 MB
~Get Your Files Here !/1. Introduction/11. Illustration5.mp4 105.4 MB
~Get Your Files Here !/1. Introduction/2. Forward Difference Table.mp4 103.1 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/9. Illustration2.mp4 96.9 MB
~Get Your Files Here !/1. Introduction/5. Illustration1.mp4 91.2 MB
~Get Your Files Here !/1. Introduction/9. Illustration3.mp4 88.0 MB
~Get Your Files Here !/2. Interpolation with equal Intervals/10. Newton Gregory Formula for backward Interpolation.mp4 85.5 MB
~Get Your Files Here !/3. Interpolation with unequal Intervals/6. Divided Difference Formula.mp4 78.9 MB
~Get Your Files Here !/1. Introduction/8. Illustration2.mp4 76.5 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Feature Engineering for Machine Learning

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13 - Assembling a feature engineering pipeline/004 Regression pipeline.mp4 106.0 MB
06 - Categorical Variable Encoding/017 Weight of Evidence Demo.mp4 103.1 MB
04 - Missing Data Imputation/008 Random sample imputation.mp4 91.9 MB
06 - Categorical Variable Encoding/004 One-hot-encoding Demo.mp4 90.1 MB
13 - Assembling a feature engineering pipeline/003 Classification pipeline.mp4 80.3 MB
06 - Categorical Variable Encoding/018 Comparison of categorical variable encoding.mp4 79.9 MB
08 - Discretisation/012 Discretisation with decision trees using Scikit-learn.mp4 79.2 MB
08 - Discretisation/004 Equal-width discretisation Demo.mp4 71.5 MB
06 - Categorical Variable Encoding/012 Target guided ordinal encoding Demo.mp4 69.1 MB
04 - Missing Data Imputation/016 Automatic determination of imputation method with Sklearn.mp4 68.6 MB
06 - Categorical Variable Encoding/020 Rare label encoding Demo.mp4 63.5 MB
13 - Assembling a feature engineering pipeline/005 Feature engineering pipeline with cross-validation.mp4 56.8 MB
06 - Categorical Variable Encoding/006 One hot encoding of top categories Demo.mp4 56.5 MB
01 - Introduction/001 Course curriculum overview.mp4 52.0 MB
06 - Categorical Variable Encoding/008 Ordinal encoding Demo.mp4 51.9 MB
10 - Feature Scaling/013 Scaling to vector unit length Demo.mp4 47.0 MB
07 - Variable Transformation/003 Variable Transformation with Scikit-learn.mp4 46.7 MB
10 - Feature Scaling/005 Mean normalisation Demo.mp4 45.2 MB
07 - Variable Transformation/002 Variable Transformation with Numpy and SciPy.mp4 44.5 MB
03 - Variable Characteristics/005 Linear models assumptions.mp4 43.5 MB

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Yellowstone.2018.S04E04.Winning.or.Learning.1080p.AMZN.WEB-DL.DDP2.0.H.264-NTb.mkv 3.2 GB
[TGx]Downloaded from torrentgalaxy.to .txt 718 Bytes

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Yellowstone.2018.S04E04.Winning.or.Learning.1080p.AMZN.WEB-DL.DDP2.0.H.264-NTb.mkv 3.2 GB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
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【影视】 Learn Data Mining and Machine Learning With Python

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[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/24. Create Multiple Linear Regression Model in Python-Part 1.mp4 181.0 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/25. Create Multiple Linear Regression Model in Python-Part 2.mp4 148.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/26. Create Multiple Linear Regression Model in Python-Part 3.mp4 144.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/15. Create Simple Linear Regression Model in Python-Part 2.mp4 135.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/5. Create Hierarchical Clustering Algorithm in Python-1.mp4 134.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/31. Create Polynomial Regression Model in Python-Part 2.mp4 130.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/38. Create Logistic Regression Model in Python-Part 1.mp4 117.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/27. Create Multiple Linear Regression Model in Python-Part 4.mp4 86.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/30. Create Polynomial Regression Model in Python-Part 1.mp4 83.2 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/9. Create K-means Clustering Algorithm Model in Python - 1.mp4 82.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/6. Create Hierarchical Clustering Algorithm in Python-2.mp4 75.6 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/17. Create Simple Linear Regression Model in Python-Part 4.mp4 73.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 72.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/50. Create Random Forest Model in Python.mp4 72.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/8. Create Artificial Neural Network Model in Python Part-2.mp4 72.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/16. Create Simple Linear Regression Model in Python-Part 3.mp4 69.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/9. Create Artificial Neural Network Model in Python Part-3.mp4 68.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/41. Create KNN Model in Python.mp4 68.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/7. Create Artificial Neural Network Model in Python Part-1.mp4 68.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/39. Create Logistic Regression Model in Python-Part 2.mp4 62.5 MB

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RARBG.txt 30 Bytes
rkprime.17.06.29.nesty.and.rina.ellis.learning.to.share.mp4 3.2 GB
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【影视】 [ FreeCryptoLearn.com ] Udemy - Applications of Machine Learning in Trading

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~Get Your Files Here !/6. Leveraging AIAlternative Data Analysis/2. Statistical arbitrage powered by Explainable Artificial Intelligence.mp4 436.3 MB
~Get Your Files Here !/2. Introduction/1. Introduction to Machine Learning.mp4 314.9 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/1. Case Study On Separating Noise from News.mp4 310.2 MB
~Get Your Files Here !/4. Refining Equity Trading Volume Prediction with Deep Learning/2. Volume Prediction with Neural Networks.mp4 242.2 MB
~Get Your Files Here !/5. Sentiment Analysis/2. Harnessing News Sentiment.mp4 231.0 MB
~Get Your Files Here !/4. Refining Equity Trading Volume Prediction with Deep Learning/3. Stock Trading Volume Prediction with Dual-Process Meta Learning.mp4 223.9 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/3. Generating Trading Signals by ML algorithms or time series ones.mp4 222.6 MB
~Get Your Files Here !/5. Sentiment Analysis/1. Introduction to Sentiment Analysis.mp4 218.7 MB
~Get Your Files Here !/6. Leveraging AIAlternative Data Analysis/1. AI in Finance Introduction.mp4 208.3 MB
~Get Your Files Here !/2. Introduction/2. Lecture 2 Data Handling and Preprocessing.mp4 199.4 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/2. Assessment of Trading Signal Quality.mp4 173.5 MB
~Get Your Files Here !/5. Sentiment Analysis/3. Bloomberg News Sentiment Case Study.mp4 151.7 MB
~Get Your Files Here !/4. Refining Equity Trading Volume Prediction with Deep Learning/1. Introduction to Volume Prediction.mp4 145.6 MB
~Get Your Files Here !/1. Course Introduction/1. Course Introduction.mp4 33.0 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/3.1 Generating Trading Signals by ML Algorithms or Time Series -Slides.pdf 14.8 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/2.1 Assessment of Trading Signal Quality - Slides.pdf 14.1 MB
~Get Your Files Here !/2. Introduction/2.1 Data Handling and Preprocessing -Slides.pdf 12.5 MB
~Get Your Files Here !/5. Sentiment Analysis/3.2 Bloomberg News & Social Sentiment Data - Slides (1).pdf 12.1 MB
~Get Your Files Here !/5. Sentiment Analysis/1.1 Intro to Sentiment Analysis - Slides.pdf 11.3 MB
~Get Your Files Here !/3. Generating Signals for Quant Models with Machine Learning/1.1 Leveraging machine learning to separate noise from news - Slides.pdf 7.5 MB

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【影视】 [UdemyCourseDownloader] Deep Learning Advanced NLP and RNNs

收录时间:2021-03-10 文档个数:127 文档大小:3.2 GB 最近下载:2025-02-14 人气:701 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeTutorials.Eu] Udemy - Deep Learning Advanced NLP and RNNs

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Advanced NLP and RNNs

收录时间:2021-03-26 文档个数:127 文档大小:3.2 GB 最近下载:2025-05-11 人气:1595 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeCourseLab.com] Udemy - Deep Learning Advanced NLP and RNNs

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] AWS Lambda and the Serverless Framework - Hands-On Learning! - [FCO]

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00025 Building_the_REST_API.mp4 309.9 MB
00021 Implementation_of_Thumbnail_Service_-_Part_1.mp4 293.2 MB
00005 AWS_Lambda_Console.mp4 268.4 MB
00015 Functions_timeout_and_memory.mp4 245.0 MB
00022 Implementation_of_Thumbnail_Service_-_Part_2.mp4 200.2 MB
00006 Installing_Serverless.mp4 180.5 MB
00018 VPC_for_Lambda_Functions.mp4 168.6 MB
00007 Deploying_our_First_Function.mp4 162.7 MB
00016 IAM_Permissions_for_Lambda_Functions.mp4 162.0 MB
00030 Deploying_the_ec2_start_and_stop_lambda_functions.mp4 134.2 MB
00017 Environment_Variables_in_AWS_Lambda.mp4 128.7 MB
00026 Deploying_the_REST_API.mp4 115.6 MB
00013 Create_AWS_Lambda_function_using_any_runtime.mp4 106.7 MB
00027 Testing_the_REST_API.mp4 105.5 MB
00004 AWS_Lambda_Overview.mp4 102.1 MB
00010 Fetching_the_function_logs_from_the_CLI.mp4 89.4 MB
00009 Updating_the_function_from_the_CLI.mp4 68.4 MB
00014 YAML_Crash_Course.mp4 64.8 MB
00019 AWS_Lambda_Pricing.mp4 50.4 MB
00032 Next_Steps.mp4 35.4 MB

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