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[FreeCoursesOnline.Me] [Packt] Mastering Deep Learning using Apache Spark [FCO]
magnet:?xt=urn:btih:859d921fbad853f82a0af13d98d59dfa78d308d6&dn=[FreeCoursesOnline.Me] [Packt] Mastering Deep Learning using Apache Spark [FCO]
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Hash值:
859d921fbad853f82a0af13d98d59dfa78d308d6
点击数:
138
文件大小:
638.82 MB
文件数量:
29
创建日期:
2021-5-3 14:58
最后访问:
2024-6-8 02:29
访问标签:
FreeCoursesOnline
Me
Packt
Mastering
Deep
Learning
using
Apache
Spark
FCO
文件列表详情
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/1. The Course Overview-111792.mp4 16.97 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/2. Analyzing Input Text Data That Will Need to Be Classified-111793.mp4 53.89 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/3. Configuring Word Vectors That Will Be Used in Our Network-111794.mp4 14.29 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/4. Adding Layers to Deep Neural Network-111795.mp4 14.65 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/5. Asserting Classification of Input Sentences-111796.mp4 16.06 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/6. Generating Input Video Data-111798.mp4 22.08 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/7. Creating a Neural Network for Video Classification-111799.mp4 18.28 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/8. Adding RNN and LSTMs to Network to Perform a Task Better-111800.mp4 19.03 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/9. Testing and Validating Deep Learning Model-111801.mp4 24.45 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/10. Creating Paragraph Vectors-111803.mp4 9.4 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/11. Adding Labels to Non-Labelled Data-111804.mp4 17.56 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/12. Finding Similarity between Vectors-111805.mp4 16.58 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/13. Creating a Model That Can Guess the Meaning of The Word-111806.mp4 14.43 MB
4. DEEP REINFORCEMENT LEARNING/14. Anomaly Detection Problem Explained-111808.mp4 27.33 MB
4. DEEP REINFORCEMENT LEARNING/15. Extracting Features from Input Data Using Multi-Layer Approach-111809.mp4 26.68 MB
4. DEEP REINFORCEMENT LEARNING/16. Adding Layer That Finds an Actual Anomaly-111810.mp4 17 MB
4. DEEP REINFORCEMENT LEARNING/17. Testing and Validating Results from Our Deep Learning Model-111811.mp4 17.37 MB
5. GENERATIVE ADVERSARIAL NETWORKS/18. Creating Data Generator for GAN-111813.mp4 19.36 MB
5. GENERATIVE ADVERSARIAL NETWORKS/19. Adding Discriminator for Our Data-111814.mp4 30.95 MB
5. GENERATIVE ADVERSARIAL NETWORKS/20. Create Classifier for Generated Data-111815.mp4 24.25 MB
5. GENERATIVE ADVERSARIAL NETWORKS/21. Performing Validation of Our Model-111816.mp4 16.51 MB
6. DISTRIBUTED MODELS/22. Configuring Spark for High Data Distribution-111818.mp4 16.03 MB
6. DISTRIBUTED MODELS/23. Fetching Input Set into Distributed Data Set Using Spark API-111819.mp4 14.16 MB
6. DISTRIBUTED MODELS/24. Creating Training Master That Supervise Computations on the Workers-111820.mp4 13.62 MB
6. DISTRIBUTED MODELS/25. Evaluating Speed of Distributed Training Using Spark-111821.mp4 9.9 MB
7. TROUBLESHOOTING/26. Monitoring of Models Using Spark UI-111823.mp4 11.79 MB
7. TROUBLESHOOTING/27. Speeding Up Computations by Employing Caching-111824.mp4 14.54 MB
7. TROUBLESHOOTING/28. Partitioning Deep Learning Data into Several Workers-111825.mp4 64.75 MB
7. TROUBLESHOOTING/29. Tweaking Spark Workers Configuration-111826.mp4 56.91 MB
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