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

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