[FreeCoursesOnline.Me] [Packt] Mastering Deep Learning using Apache Spark [FCO]

Creation Time	June 28, 2024, 9:54 p.m.
Last Access Time	Oct. 30, 2024, 6:13 p.m.
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Keywords	FreeCoursesOnline Me Deep Packt Learning Mastering Apache using Spark FCO
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7. TROUBLESHOOTING/28. Partitioning Deep Learning Data into Several Workers-111825.mp4 64.8 MB
7. TROUBLESHOOTING/29. Tweaking Spark Workers Configuration-111826.mp4 56.9 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/2. Analyzing Input Text Data That Will Need to Be Classified-111793.mp4 53.9 MB
5. GENERATIVE ADVERSARIAL NETWORKS/19. Adding Discriminator for Our Data-111814.mp4 31.0 MB
4. DEEP REINFORCEMENT LEARNING/14. Anomaly Detection Problem Explained-111808.mp4 27.3 MB
4. DEEP REINFORCEMENT LEARNING/15. Extracting Features from Input Data Using Multi-Layer Approach-111809.mp4 26.7 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/9. Testing and Validating Deep Learning Model-111801.mp4 24.4 MB
5. GENERATIVE ADVERSARIAL NETWORKS/20. Create Classifier for Generated Data-111815.mp4 24.3 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/6. Generating Input Video Data-111798.mp4 22.1 MB
5. GENERATIVE ADVERSARIAL NETWORKS/18. Creating Data Generator for GAN-111813.mp4 19.4 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/8. Adding RNN and LSTMs to Network to Perform a Task Better-111800.mp4 19.0 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/7. Creating a Neural Network for Video Classification-111799.mp4 18.3 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/11. Adding Labels to Non-Labelled Data-111804.mp4 17.6 MB
4. DEEP REINFORCEMENT LEARNING/17. Testing and Validating Results from Our Deep Learning Model-111811.mp4 17.4 MB
4. DEEP REINFORCEMENT LEARNING/16. Adding Layer That Finds an Actual Anomaly-111810.mp4 17.0 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/1. The Course Overview-111792.mp4 17.0 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/12. Finding Similarity between Vectors-111805.mp4 16.6 MB
5. GENERATIVE ADVERSARIAL NETWORKS/21. Performing Validation of Our Model-111816.mp4 16.5 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/5. Asserting Classification of Input Sentences-111796.mp4 16.1 MB
6. DISTRIBUTED MODELS/22. Configuring Spark for High Data Distribution-111818.mp4 16.0 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/4. Adding Layers to Deep Neural Network-111795.mp4 14.7 MB
7. TROUBLESHOOTING/27. Speeding Up Computations by Employing Caching-111824.mp4 14.5 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/13. Creating a Model That Can Guess the Meaning of The Word-111806.mp4 14.4 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/3. Configuring Word Vectors That Will Be Used in Our Network-111794.mp4 14.3 MB
6. DISTRIBUTED MODELS/23. Fetching Input Set into Distributed Data Set Using Spark API-111819.mp4 14.2 MB
6. DISTRIBUTED MODELS/24. Creating Training Master That Supervise Computations on the Workers-111820.mp4 13.6 MB
7. TROUBLESHOOTING/26. Monitoring of Models Using Spark UI-111823.mp4 11.8 MB
6. DISTRIBUTED MODELS/25. Evaluating Speed of Distributed Training Using Spark-111821.mp4 9.9 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/10. Creating Paragraph Vectors-111803.mp4 9.4 MB
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[FreeCoursesOnline.Me] [Packt] Mastering Deep Learning using Apache Spark [FCO]

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