| ファイル | サイズ |
|---|
| 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 | 9.40 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 | 17.00 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 | 9.90 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 |
| Discuss.FTUForum.com.html | 31.89 kB |
| FreeCoursesOnline.Me.html | 108.30 kB |
| FTUForum.com.html | 100.44 kB |
| How you can help Team-FTU.txt | 235.00 B |
| Torrent Downloaded From GloDls.to.txt | 84.00 B |
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