589689.xyz

[] [Packt] Mastering Deep Learning using Apache Spark [FCO]

  • 收录时间:2019-12-18 16:32:29
  • 文件大小:639MB
  • 下载次数:52
  • 最近下载:2021-01-21 09:03:16
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 7. TROUBLESHOOTING/28. Partitioning Deep Learning Data into Several Workers-111825.mp4 65MB
  2. 7. TROUBLESHOOTING/29. Tweaking Spark Workers Configuration-111826.mp4 57MB
  3. 1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/2. Analyzing Input Text Data That Will Need to Be Classified-111793.mp4 54MB
  4. 5. GENERATIVE ADVERSARIAL NETWORKS/19. Adding Discriminator for Our Data-111814.mp4 31MB
  5. 4. DEEP REINFORCEMENT LEARNING/14. Anomaly Detection Problem Explained-111808.mp4 27MB
  6. 4. DEEP REINFORCEMENT LEARNING/15. Extracting Features from Input Data Using Multi-Layer Approach-111809.mp4 27MB
  7. 2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/9. Testing and Validating Deep Learning Model-111801.mp4 24MB
  8. 5. GENERATIVE ADVERSARIAL NETWORKS/20. Create Classifier for Generated Data-111815.mp4 24MB
  9. 2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/6. Generating Input Video Data-111798.mp4 22MB
  10. 5. GENERATIVE ADVERSARIAL NETWORKS/18. Creating Data Generator for GAN-111813.mp4 19MB
  11. 2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/8. Adding RNN and LSTMs to Network to Perform a Task Better-111800.mp4 19MB
  12. 2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/7. Creating a Neural Network for Video Classification-111799.mp4 18MB
  13. 3. TRANSFER LEARNING AND PRE-TRAINED MODELS/11. Adding Labels to Non-Labelled Data-111804.mp4 18MB
  14. 4. DEEP REINFORCEMENT LEARNING/17. Testing and Validating Results from Our Deep Learning Model-111811.mp4 17MB
  15. 4. DEEP REINFORCEMENT LEARNING/16. Adding Layer That Finds an Actual Anomaly-111810.mp4 17MB
  16. 1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/1. The Course Overview-111792.mp4 17MB
  17. 3. TRANSFER LEARNING AND PRE-TRAINED MODELS/12. Finding Similarity between Vectors-111805.mp4 17MB
  18. 5. GENERATIVE ADVERSARIAL NETWORKS/21. Performing Validation of Our Model-111816.mp4 17MB
  19. 1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/5. Asserting Classification of Input Sentences-111796.mp4 16MB
  20. 6. DISTRIBUTED MODELS/22. Configuring Spark for High Data Distribution-111818.mp4 16MB
  21. 1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/4. Adding Layers to Deep Neural Network-111795.mp4 15MB
  22. 7. TROUBLESHOOTING/27. Speeding Up Computations by Employing Caching-111824.mp4 15MB
  23. 3. TRANSFER LEARNING AND PRE-TRAINED MODELS/13. Creating a Model That Can Guess the Meaning of The Word-111806.mp4 14MB
  24. 1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/3. Configuring Word Vectors That Will Be Used in Our Network-111794.mp4 14MB
  25. 6. DISTRIBUTED MODELS/23. Fetching Input Set into Distributed Data Set Using Spark API-111819.mp4 14MB
  26. 6. DISTRIBUTED MODELS/24. Creating Training Master That Supervise Computations on the Workers-111820.mp4 14MB
  27. 7. TROUBLESHOOTING/26. Monitoring of Models Using Spark UI-111823.mp4 12MB
  28. 6. DISTRIBUTED MODELS/25. Evaluating Speed of Distributed Training Using Spark-111821.mp4 10MB
  29. 3. TRANSFER LEARNING AND PRE-TRAINED MODELS/10. Creating Paragraph Vectors-111803.mp4 9MB
  30. FreeCoursesOnline.Me.html 108KB
  31. FTUForum.com.html 100KB
  32. Discuss.FTUForum.com.html 32KB
  33. How you can help Team-FTU.txt 235B
  34. Torrent Downloaded From GloDls.to.txt 84B