- Website: https://www.datacamp.com/community/tutorials
- Content: DataCamp offers many high-quality tutorials on deep learning, and a significant portion of those are focused on using Keras for various tasks such as classification, regression, and image processing.
- Highlights:
- In-depth tutorials on deep learning with Keras.
- Great for beginners and intermediate learners.
- Courses on applying Keras to real-world problems.
Author: saqibkhan
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DataCamp Tutorials
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A.I. Shack
- Website: https://aishack.in/
- Content: This blog focuses on artificial intelligence and deep learning, with frequent articles on Keras for both image and natural language processing tasks.
- Highlights:
- Step-by-step tutorials for using Keras in deep learning projects.
- Projects covering computer vision and NLP with Keras.
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Analytics Vidhya
- Website: https://www.analyticsvidhya.com/
- Content: A popular blog in the data science community with many Keras-focused tutorials and courses. It also covers topics like model tuning, model evaluation, and deploying Keras models.
- Highlights:
- Practical tutorials on using Keras for deep learning tasks.
- Case studies showing how Keras is applied in industry.
- Introductory to advanced articles on various Keras features.
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Towards Data Science (Medium)
- Website: https://towardsdatascience.com/
- Content: A Medium publication with a wide range of Keras and machine learning tutorials from community contributors. It’s a great place to read practical examples and cutting-edge deep learning techniques.
- Highlights:
- Keras tutorials ranging from beginner to advanced.
- Step-by-step guides on deep learning projects using Keras.
- Community-contributed articles on emerging trends.
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PyImageSearch
- Website: https://www.pyimagesearch.com/
- Content: PyImageSearch focuses primarily on computer vision using libraries like Keras and OpenCV. The blog has many Keras-related tutorials, especially related to image classification, object detection, and more.
- Highlights:
- Hands-on tutorials for image classification, detection, and segmentation using Keras.
- Guides on deploying Keras models in production.
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TensorFlow Blog
- Website: https://blog.tensorflow.org/
- Content: Since Keras is now a part of TensorFlow, this blog often covers updates and tutorials related to TensorFlow/Keras. You’ll find tutorials on model deployment, performance improvements, and new features.
- Highlights:
- Keras tutorials on TensorFlow.
- Case studies using TensorFlow + Keras in real-world applications.
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Keras Blog
- Website: https://blog.keras.io/
- Content: The official Keras blog contains posts written by François Chollet (the creator of Keras) and the Keras team. It covers a wide range of topics like new features, tutorials, best practices, and use cases for Keras.
- Highlights:
- Introductions to Keras features and updates.
- Tutorials on deep learning techniques like GANs, transfer learning, etc.
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Node.js vs Java
Index Node.js Java 1. Node.js is single-threaded. Java is multi-threaded 2. It has asynchronous I/O. It has synchronous I/O. 3. Node.js is faster than Java because of its asynchronous and non-blocking nature. Java is synchronous in nature so it is slower than Node.js. Node.js advantages over Java
Following is a list of some important points that makes Node.js superior to Java:
- Node.js shows extremely good performance. It is almost 20% faster than Java.
- Node.js has active and vibrant community, with lots of code shared via github, etc.
- Node.js has growing number of good npm libraries.
- Node.js has an asynchronous IO which is the future for concurrency and scalability.
- Node.js cuts down the overall processing time while uploading audio and video files. Node.js applications never buffer any data. So it is preferred for video uploading.
- A web server written in Node.js will be faster than apache.
Java advantages over Node.js
Following is a list of some important points where Java leads:
- Java has a rock-solid foundation with over 20 years of existence. So it is more reliable and widely used.
- Java developers have Eclipse, NetBeans, or IntelliJ, three top-notch tools that are well-integrated with debuggers, decompilers, and servers.
- Java facilitates remote debugging.
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Node.js vs PHP
Index Node.js PHP 1. Node.js was created by Ryan Dahl in 2009 so it is comparatively new. PHP was created by Rasmus Lerdorf in 1994. So it has a glorious history of 20+ years. 2. Node.js is not a programming language itself. It is a platform which runs JavaScript on server side and come with some set of JavaScript functions, modules, helpers etc. PHP is a programming language, used to develop web applications.. 3. Node.js uses Google’s V8 JavaScript engine, which also powers client-side code in the chrome web browser.node.js platform. It has built-in libraries to handle web requests and responses so you don?t need a separate web server or other dependencies. PHP is processed by an interpreter normally installed as a module in a web server i.e. Apache or Nginx. 4. Node.js provides a wide range of new plugins that are designed according to the modern architectural approach. PHP is a simple and thin layer language with less variables and certain elementary functions. It is not good for lengthy and complex architectural website. Although, Node.js and PHP both are open source, primarily aimed for web development but they have some distinctive features. In some aspects, the former is better and some ways, the later is.
Advantages of Node.js over PHP
- Node.js is relatively new. So it provides a wide range of new plugins that are designed according to the modern architectural approach.
- Node.js provides structure in programming which makes it easy to understand and maintain. This facilitates programmers to structure and make their task more organized.
- Node.js is event driven and non-blocking so, speed (performance) is very high and this is the main advantage of using it.
- Node.js can handle concurrent requests more than other web technologies due to its event-driven nature.
- If you do something where you have many connections open at the same time then you must go with Node.js because it does not require a lot of memory and enhances speed.
- Node.js is more secure than PHP. Actually the main issue with PHP is security threats and a lot of alternatives have been launched in past few years to overcome with this.
Advantages of PHP over Node.js
- PHP is almost 20+ years old. It has a deep history in web development. On the other hand, Node.js is relatively new.
- All the major CMS platforms, like, WordPress, Joomla and Drupal, including their plugins are all written in PHP, making it easy to use and modify according to requirement.
- PHP is a simple and thin layer language with fewer variables and certain elementary functions. While Node.js is more complex.
- PHP is preferred to deal with less complex projects because it doesn’t use any JAR files and compilers, it enables a developer to create a web application with simply an editor and PHP files.
- PHP facilitates its developers to mix codes with content. You can simply open PHP tags and write codes without any need of templates or other files. It is very simple to learn and implement.
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Node.js vs Python
Index Node.js Python 1) Node.js is much faster than Python. Python is prettier than JavaScript. It is really fun to program in python if you don’t like JavaScript. It also has many useful Language features that JavaScript does not have like Generators, Decorators, Classes etc. 2) Node.js is very popular in job market and growing day by day. It was initially released on 27 May, 2009. The foundation of python was started in late 80’s and released on December 1989. So, it is very older than Node.js. 3) Node.js is using by very big companies like Google, Microsoft, Apple etc. Millions of active apps are built on various versions of JavaScript. There is not so craze for python now a day. Actually no other language ever had support like Node.js. 4) A developer who is working on a web project, must have the knowledge of Node.js because sooner or later he will have to deal with node because many tools like module loaders, CSS preprocessors, template engines, etc. are made to run on node. Python is an object oriented, strongly typed, multipurpose programming language which can be easily mixed up with C, C++, and JAVA etc. 5) Node.js supports callback. Its programming is based on event/callback which makes it faster but as well as harder to debug and maintain Python doesn?t support callback. It supports generators which makes it much simpler and concise. Node.js Advantages over Python
- Node.js can be used for both client and server development.
- Node.js uses Google chrome’s V8 engine which makes its library very fast in code execution.
- Node.js is well suited for asynchronous programming.
- Node.js is getting popular day by day. It is now using by a lot of companies like Google, Microsoft, and Apple etc.
- Node.js uses non-blocking I/O throughout so, it is best option for creating real-time web application. For example: chat application. On the other hand, Python is best option for creating CRUD based web applications.
Python Advantages over Node.js
- Python is an object oriented and multipurpose programming language which can be easily mixed up with C, C++, and JAVA etc. It is clean and contains many useful language features that JavaScript doesn’t have like Generators, Decorators, and Classes etc.
- If you are familiar with Python then you should use PyPy + Tornado. It is more beneficial , productive , and maintainable than using Node.js
- Node.js claims that it is faster than Python but Python provides PyPy+ Tornado to overcome with this disadvantage.
- Python is also using by a lot of internet companies now a day i.e. Quora, Nextdoor, Youtube , Pinterest, Slide Share, Apture, Disqus, Mochi Media etc.