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[FreeCoursesOnline.Me] [Packt] Mastering Deep Learning Using Apache Spark [FCO]
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By : Tomasz Lelek Released : Tuesday, April 16, 2019 [New Release!] Torrent Contains : 34 Files, 7 Folders Course Source : https://www.packtpub.com/big-data-and-business-intelligence/mastering-deep-learning-using-apache-spark-video
Develop industrial solutions based on deep learning models with Apache Spark
Video Details
ISBN 9781788292511 Course Length 2 hour 3 minutes
Table of Contents
• CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP) • PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS • TRANSFER LEARNING AND PRE-TRAINED MODELS • DEEP REINFORCEMENT LEARNING • GENERATIVE ADVERSARIAL NETWORKS • DISTRIBUTED MODELS • TROUBLESHOOTING
Video Description
Deep learning has solved tons of interesting real-world problems in recent years. Apache Spark has emerged as the most important and promising machine learning tool and currently a stronger challenger of the Hadoop ecosystem. In this course, you’ll learn about the major branches of AI and get familiar with several core models of Deep Learning in its natural way.
You’ll begin with building deep learning networks to deal with speech data and explore tricks to solve NLP problems and classify video frames using RNN and LSTMs. You’ll also learn to implement the anomaly detection model that leverages reinforcement learning techniques to improve cyber security.
Moving on, you’ll explore some more advanced topics by performing prediction classification on image data using the GAN encoder and decoder. Then you’ll configure Spark to use multiple workers and CPUs to distribute your Neural Network training. Finally, you’ll track progress, solve the most common problems in your neural network, and debug your models that run within the distributed Spark engine.
Style and Approach
This course takes a practical approach to networking and will get you familiar with several core models. It will help you implement deep learning models like CNN, RNN, LTSMs on Spark and get hands-on experience of what it takes and a general feeling of the complexity we are dealing with.
What You Will Learn
• Configure a Convolutional Neural Network (CNN) to extract value from images • Create a deep network with multiple layers to perform computer vision • Classify speech and audio data • Leverage RNN and LSTMs for video classification for hospital data • Improve cybersecurity with deep reinforcement learning • Use a generative adversarial network for training • Create highly distributed algorithms using Spark
Authors
Tomasz Lelek
Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He has worked with Spark API and the ML API for the past five years and has production experience in processing petabytes of data.
He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. Recently, he was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and the Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.
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FILE LIST
Filename
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
53.9 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
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/4. Adding Layers to Deep Neural Network-111795.mp4
14.7 MB
1. CONVOLUTIONAL NEURAL NETWORKS FOR SPEECH RECOGNITION (NLP)/5. Asserting Classification of Input Sentences-111796.mp4
16.1 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/6. Generating Input Video Data-111798.mp4
22.1 MB
2. PERFORMING VIDEO CLASSIFICATION USING RNN AND LSTMS/7. Creating a Neural Network for Video Classification-111799.mp4
18.3 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
24.4 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
17.6 MB
3. TRANSFER LEARNING AND PRE-TRAINED MODELS/12. Finding Similarity between Vectors-111805.mp4
16.6 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
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
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
17.4 MB
5. GENERATIVE ADVERSARIAL NETWORKS/18. Creating Data Generator for GAN-111813.mp4
19.4 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
24.3 MB
5. GENERATIVE ADVERSARIAL NETWORKS/21. Performing Validation of Our Model-111816.mp4
16.5 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
14.2 MB
6. DISTRIBUTED MODELS/24. Creating Training Master That Supervise Computations on the Workers-111820.mp4
13.6 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
11.8 MB
7. TROUBLESHOOTING/27. Speeding Up Computations by Employing Caching-111824.mp4
14.5 MB
7. TROUBLESHOOTING/28. Partitioning Deep Learning Data into Several Workers-111825.mp4
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