filmov
tv
Color Old Photographs Using Autoencoders | Machine Learning Projects - 4 | ML Training | Edureka
![preview_player](https://i.ytimg.com/vi/lLy0sRmxVvo/maxresdefault.jpg)
ะะพะบะฐะทะฐัั ะพะฟะธัะฐะฝะธะต
This Edureka video on '๐๐จ๐ฅ๐จ๐ซ ๐๐ฅ๐ ๐๐ก๐จ๐ญ๐จ๐ ๐ซ๐๐ฉ๐ก๐ฌ ๐๐ฌ๐ข๐ง๐ ๐๐ฎ๐ญ๐จ๐๐ง๐๐จ๐๐๐ซ๐ฌ' will give you an overview of how to color your old Photographs with the help of Machine Learning. Following pointers are covered in this Color old photographs using Autoencoders:
00:00:00 Agenda
00:00:47 Problem Statement
00:02:40 Tools and Frameworks
00:03:16 Project
------------------------------------
#edureka #edurekamachinelearning #machinelearning #coloroldphotographsusingautoencoders #machinelearningproject #edurekatraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ---------
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
-----------------๐๐๐ฎ๐ซ๐๐ค๐ ๐GD ๐๐จ๐ฎ๐ซ๐ฌ๐---------------
--------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 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
About the Course :
Edurekaโs Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language.
Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
00:00:00 Agenda
00:00:47 Problem Statement
00:02:40 Tools and Frameworks
00:03:16 Project
------------------------------------
#edureka #edurekamachinelearning #machinelearning #coloroldphotographsusingautoencoders #machinelearningproject #edurekatraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ---------
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
-----------------๐๐๐ฎ๐ซ๐๐ค๐ ๐GD ๐๐จ๐ฎ๐ซ๐ฌ๐---------------
--------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 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
About the Course :
Edurekaโs Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language.
Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
ะะพะผะผะตะฝัะฐัะธะธ