In this tutorial we go through how an image captioning system works and implement one from scratch. Specifically we're looking at the caption dataset Flickr8k. There are multiple ways to improve the model: train a larger model (the one used is relatively small), train for longer and improve the model by adding attention similar to this paper: https://arxiv.org/abs/1502.03044.

Video of dataset (link in that video description to download the dataset yourself):
https://youtu.be/9sHcLvVXsns

✅ Support My Channel Through Patreon:
https://www.patreon.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Github Repository:
https://github.com/aladdinpers....son/Machine-Learning

I stole the thumbnail image from Yunjeys Github on Image Captioning which I also used as a resource. The implementation in the video differs a bit, but it's definitely worth checking out:
https://github.com/yunjey/pytorch-tutorial


OUTLINE:
0:00 - Introduction
0:12 - Explanation of Image Captioning
05:15 - Overview of the code
06:07 - Implementation of CNN and RNN
20:03 - Setting up the training
30:36 - Fixing errors
32:18 - Small evaluation and ending

As with his previous incarnations, Godzilla can release pulses of radioactive energy. He first demonstrated this in Godzilla: King of the Monsters where, after absorbing the radiation of a nuclear blast and Mothra’s life force, Godzilla starts to heat up with a fiery red glow, burning and melting objects in his vicinity while becoming completely immune to Ghidorah's gravity beams. This energy overload grants him control over tremendously powerful thermonuclear pulses that incinerates most of Ghidorah's body and a large portion of Boston with him. The shape of these particular pulses also resembles Mothra's wings while the sound of the explosions resembles Mothra's screech, for this ability is a result of Godzilla and Mothra's symbiotic bond, and can only be used in the most specific of circumstances.

I edited the scene a little, removing some irrelevant humans parts, keeping it as seamless and objective as possible, focusing only on the Kaijus.

Source: 3840x2160
Upscale: 7680x4320

© 2019 Warner Bros. Entertainment Inc.

#Godzilla​ #KingGhidorah #8K​ #Kaiju

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In this video, you can get an understanding of the sound generation task, and learn to classify different types of sound generation systems.

I discuss the approaches and Deep Learning models used to generate sound. I also outline the challenges encountered with different methods, and discuss the features used to train generative sound systems.

Slides:
https://github.com/musikalkemi....st/generating-sound-

Interested in hiring me as a consultant/freelancer?
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===============================

Content:
0:00 Intro
0:33 Defining the sound generation task
1:17 Classification of sound generation systems
2:14 Types of generated sounds
3:41 Sound representations
4:07 Generation from raw audio
7:40 Challenges of raw audio generation
10:21 Generation from spectrograms
16:12 Advantages of generation from spectrograms
18:07 Challenges of generation from spectrograms
20:26 Can we generate sound with MFCCs?
21:26 DL architectures for sound generation
22:13 Inputs for generation
24:03 Details about the sound generative system we'll build
24:44 What's next?
===============================

Mentioned papers:

Wavenet: A Generative Model for Raw Audio:
https://arxiv.org/pdf/1609.03499.pdf

Jukebox: A Generative Model for Music
https://arxiv.org/pdf/2005.00341

DrumGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks
https://arxiv.org/pdf/2008.12073

Melnet: A generative model for audio in the frequency domain
https://arxiv.org/pdf/1906.01083.pdf

Official 4K Video for ”Greatest Love Of All” by Whitney Houston
Listen to Whitney Houston: https://WhitneyHouston.lnk.to/listenYD
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Ask your voice device to play Whitney Houston!

Lyrics:
Because the greatest love of all
Is happening to me
I found the greatest love of all
Inside of me
The greatest love of all
Is easy to achieve
Learning to love yourself
It is the greatest love of all

#WhitneyHouston #GreatestLoveOfAll #Official4KVideo #4K #Remastered

( Informatica Tutorial - https://www.edureka.co/informatica )
This Edureka Informatica tutorial helps you understand Informatica PowerCenter in detail. This Informatica tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Informatica concepts. Informatica Playlist here https://goo.gl/TmX6Fv.
Informatica Tutorial Blog Series: https://goo.gl/HkKAVi

This video helps you to learn following topics :

1. ETL Using Informatica PowerCenter.
2. The Information Economy.
3 .ETL - an Overview.
4.The Informatica Platform.
5.Why Informatica.
6. Informatica Partners and Customers.
7. Informatica Architecture Overview and Components.
8. Nodes and Domains.
9. ETL fundamentals.
10. ETL Process.
11. ETL Processing framework.
12. Sessions and Framework.

Other Related Blog Post:
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https://goo.gl/2oYch1


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How it Works?
1. This is a 6 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka's Informatica PowerCenter Certification training is designed to help you become a top Informatica Developer and Administrator. During this course, our expert Informatica instructors will help you:

1. Understand and identify different Informatica Products .
2. Describe Informatica PowerCenter architecture & its different components.
3. Use PowerCenter 9.x components to build Mappings, Tasks, Workflows.
4. Describe the basic and advanced features functionalities of PowerCenter 9.X transformations.
5. Understand Workflow Task and job handling.
6. Describe Mapping Parameter and Variables.
7. Perform debugging, troubleshooting, error handling and recovery.
8. Learn to calculate cache requirement and implement session cache.
9. Execute performance tuning and Optimisation.
10. Recognise and explain the functionalities of the Repository Manager tool.
11. Identify how to handle services in the Administration Console.
12. Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation.
13. Gain insight on ETL best practices using Informatica.

- - - - - - - - - - - - - - - - - - -

Who should go for this course?

The following professionals can go for this course :
1. Software Developers.
2. Analytics Professionals .
3. BI/ETL/DW Professionals.
4. Mainframe developers and Architects.
5. Individual Contributors in the field of Enterprise Business Intelligence.

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Why learn Informatica?

Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform interoperates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size.

The topics related to Informatica have extensively been covered in our course 'Informatica PowerCenter 9.X Developer & Admin Certification Training’

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