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21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
05 Regress227o linear/025 Regress227o linear simples com estimators II.mp4 110.6 MB
05 Regress227o linear/027 Regress227o linear multipla com estimators II.mp4 109.3 MB
21 Gerac227o automatica de caracteres/099 Construc227o da GAN - MNIST I.mp4 107.4 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/108 Introduc227o a redes neurais artificiais I.mp4 106.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning in Practice II - Transfer Learning Projects.zip
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[ FreeCourseWeb.com ] Udemy - Deep Learning in Practice II - Transfer Learning Projects.zip 1.2 GB
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34- Exploiting Linux with Metasploit.mp4 23.2 MB
09- Installing Ubuntu from an ISO file.mp4 14.3 MB
23- Active target reconnaissance.mp4 13.5 MB
29- Introducing password recovery.mp4 13.4 MB
36- Exploiting Windows with venom.mp4 12.8 MB
06- A first look at VirtualBox.mp4 12.2 MB
28- Running an OpenVAS scan.mp4 12.1 MB
15- Using the application menu.mp4 11.3 MB
07- Installing Kali as an appliance.mp4 11.2 MB
35- Graphical exploits with Armitage.mp4 10.0 MB
12- Using the advanced options.mp4 9.9 MB
27- Using Burp Suite to scan a website.mp4 9.9 MB
32- Cracking Windows passwords.mp4 8.9 MB
22- Using DNS for passive reconnaissance.mp4 7.8 MB
16- Setting up favorites.mp4 7.8 MB
11- Installing Windows.mp4 7.6 MB
08- Installing Metasploitable from a virtual disk.mp4 7.6 MB
30- Using command-line tools for dictionaries.mp4 6.8 MB
21- Using Deepmagic for reconnaissance.mp4 6.6 MB
31- Having a ripping good time.mp4 6.4 MB
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- 【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
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28- Solution - Modularize your code.mp4 50.7 MB
18- Instance.mp4 28.5 MB
21- Load balancer.mp4 25.5 MB
23- Solution - AutoScaling group.mp4 25.5 MB
17- Security group.mp4 24.5 MB
20- Get ready to scale.mp4 20.4 MB
10- Terraform state.mp4 17.5 MB
25- Split out your data.mp4 17.5 MB
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16- Expanding your installation.mp4 13.7 MB
19- Static IP.mp4 12.5 MB
09- Terraform plan.mp4 12.1 MB
04- Installing Terraform.mp4 10.2 MB
07- Initial deployment.mp4 8.5 MB
26- Modules.mp4 8.0 MB
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[ FreeCourseWeb.com ] Udemy - Machine Learning 2020 - Complete Maths for Machine Learning.zip 765.6 MB
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- 【压缩文件】 LinkedIn Learning - Learning RabbitMQ
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文档个数:43
文档大小:440.8 MB
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Ex_Files_RabbitMQ.zip 191.2 MB
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14- Filter messages with topic exchanges.mp4 21.5 MB
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13- Filter messages with direct exchanges.mp4 19.0 MB
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11- Publish to a RabbitMQ exchange.mp4 14.4 MB
17- Authorize or block application actions.mp4 13.0 MB
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20- Tracing message contents for troubleshooting.mp4 11.0 MB
18- Validate user IDs.mp4 10.7 MB
10- Introducing the sample application.mp4 9.9 MB
16- Set up and use authentication.mp4 9.2 MB
21- Go further with RabbitMQ.mp4 5.6 MB
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06- The exchange types.mp4 4.1 MB
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Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
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文档大小:10.1 GB
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6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 210.3 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 200.3 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 198.9 MB
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2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 191.1 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 175.5 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 167.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 163.9 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 163.4 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 159.4 MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 158.0 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 152.0 MB
3. Predictive Models/1. [Activity] Linear Regression.mp4 151.4 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4 148.7 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4 147.4 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4 146.6 MB
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28. Convolutional Neural Networks/4. Convolutional Neural Networks Lab (Coding).mp4 199.0 MB
6. Regularization/2. Regularization Lab.mp4 198.8 MB
18. Hierarchical Clustering/3. Hierarchical Clustering Lab.mp4 198.4 MB
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17. kmeans/2. kmeans Lab.mp4 167.6 MB
31. Recurrent Neural Networks/3. LSTM Univariate, Multistep Timeseries Prediction (Coding).mp4 153.7 MB
31. Recurrent Neural Networks/5. LSTM Multivariate, Multistep Timeseries Prediction (Coding).mp4 148.4 MB
24. ----- Reinforcement Learning -----/6. Upper Confidence Bound Lab (Coding 12).mp4 145.0 MB
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8. Classification Basics/7. ROC Curve Lab 33 (ROC, AUC, Cost Function).mp4 142.1 MB
27. Deep Learning Classification/6. Multi-Label Classification Lab (Coding 23).mp4 135.1 MB
21. Principal Component Analysis (PCA)/2. PCA Lab.mp4 133.2 MB
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27. Deep Learning Classification/2. Binary Classification Lab (Coding 12).mp4 126.9 MB
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26. Deep Learning Regression/2. Multi-Target Regression Lab (Coding 12).mp4 124.8 MB
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文档个数:1
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