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Why Keras?

You can use HTML to build anything on Web as it is the skeleton of a website. When HTML gets combined with CSS and JavaScript, it can show a visual miracle known as dynamically functional webpage.

HTML is a key skill in the Frontend Development and empowers a lot of latest technology like Data Science, AI and Machine learning for business development.

HTML is simple, easy and fun to learn and you can start building project from the first day. With YourEngineer, it is super easy and fun to master HTML.
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Learn HTML for Frontend Development

Frontend development gets completed in three steps:

(a) Create the structure with HTML

(b) Style it with CSS

(c) Make the webpage interactive and Functional with JavaScript

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Start Learning UI Development

Ready to start your UI Development Journey? In this course you will learn all the elements of HTML to create a structured webpage and style it properly using CSS selectors, and queries.

Section A: Fundamentals of HTML5

Start your learning with basic structure of webpage, form building, table creation and elements as input, label, multimedia and lists etc.

Section B: Start Styling with CSS3

Implement styling to HTML elements using CSS Selectors, classes, elements. Learn Box model, Flexbox, Grids, animation and media queries in CSS.

Practical Approach for Learning Keras

YourEngineer provides Hands on Training of Keras with various Practice Projects, Portfolio Projects and engaging tutorials.

If you are really into learning Keras, we can make it fun and gamified with challenges, competitions and real world projects.

All you need to upskill with Keras is an Internet Connection, willingness and a hunger for learning something new.

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Test your Keras Skills with YourEngineer Checkpoint

Determine your Keras Strength and weaknesses with an assessment. You can be at a beginner, intermediate or advanced level where you will be benchmarking yourself with your peers and improving consistently.

At YourEngineer Checkpoint, after an assessment you get a personalized recommendation on how to improve

Keras Guidebook and CheatSheets

Get a comprehensive knowledge of Keras with our Guidebook and CheatSheets which will provide you a clear vision for upskilling.

Keras Essentials Guidebook

In this guidebook you will get a wholesome idea of Keras in a structured way and the way of learning it.

Keras Career Path Guidebook

In this guidebook you will understand the career path that gets opened if you upskill with Keras.

HTML: Syntax and Commands

Get a list of syntax and commands of HTML in a documented way and consider it as a manual when in doubt.

HTML: Advanced Logic and Framework

Apply HTML codes and build something necessary in real world by getting access to Advanced Logic Cheatsheet.

Practical Approach for Learning Keras

YourEngineer provides Hands on Training of Keras with various Practice Projects, Portfolio Projects and engaging tutorials.

If you are really into learning Keras, we can make it fun and gamified with challenges, competitions and real world projects.

All you need to upskill with Keras is an Internet Connection, willingness and a hunger for learning something new.

Best Resources

Articles:

Frequently Asked Questions:

Keras is a high-level, deep learning API developed by Google for implementing neural networks. It is written in Python and is used to make the implementation of neural networks easy. It also supports multiple backend neural network computation.

Keras is the high-level API of TensorFlow 2: an approachable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.

Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.

Keras is a powerful deep learning library that runs on top of other open-source machine learning libraries such as TensorFlow and is also open-source itself. To develop deep learning models, Keras adopts a minimal structure in Python that makes it easier to learn and quick to write.

Keras (κέρας) means horn in Greek. It is a reference to a literary image from ancient Greek and Latin literature, first found in the Odyssey. Keras was initially developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System).

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