#tensorflow 2.0 tutorial for beginners

[fromdevcom]

TensorFlow is a powerful machine learning framework for deep learning. This open-source tool has changed the speed of development in the supervised machine learning area. Using TensorFlow for training machines learning model is very common these days. Large machine learning leader companies are already using TensorFlow on a large scale. Learning TensorFlow has also become super convenient these days with a ton of free tutorials and courses online. I have compiled a list of the best free online resources that will help you learn TensorFlow quickly. Note: Foundation Courses TensorFlow is a specialized machine learning environment that focuses on supervised machine learning. In case you are an absolute beginner in ML space, you may find this list of ML tutorials handy  Free YouTube Courses On TensorFlow  YouTube is full of useful videos, however, it gets really hard to find in-depth courses that may be worth your time. Below is a shortlist of best courses to learn TensorFlow on YouTube, some of them are also advertisement free.  TensorFlow in 5 Minutes | Introduction To TensorFlow | Deep Learning Using TensorFlow | Edureka - YouTube TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial - YouTube Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial - YouTube Coding TensorFlow - YouTube TensorFlow 2.0 Crash Course - YouTube TensorFlow Tutorials - YouTube TensorFlow 2.0 Tutorials for Beginners - YouTube Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19) - YouTube Coursera Courses On TensorFlow Coursera a popular choice for online courses. Below are some courses available on Coursera.  TensorFlow in Practice | Coursera Machine Learning with TensorFlow on Google Cloud Platform Getting started with TensorFlow 2 Basic Image Classification with TensorFlow Other Courses Online There are many other websites that have good online tutorials. These are not video courses, however can be handy for beginners. Official website documentation - https://www.tensorflow.org/tutorials Datacamp tutorials on TensorFlow - https://www.datacamp.com/community/tutorials/tensorflow-tutorial TensorFlow training by Guru99 - https://www.guru99.com/tensorflow-tutorial.html Python TensorFlow tutorial - https://adventuresinmachinelearning.com/python-tensorflow-tutorial/ Summary I hope you find this list useful. Do you know about more useful courses related to TensorFlow? Please share it with me in the comments section.

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Mastering TensorFlow 2.0: A Step-by-Step Guide for Beginners

Introduction Mastering TensorFlow 2.0: A Step-by-Step Guide for Beginners is a comprehensive tutorial designed to help beginners learn the fundamentals of TensorFlow 2.0, a popular open-source machine learning library developed by Google. This guide will cover the core concepts, implementation, and best practices of TensorFlow 2.0, providing readers with a solid foundation for building and…

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Python: -

Python is a high-level, general-purpose, and interpreted programming language used in various sectors including machine learning, artificial intelligence, data analysis, web development, and many more. Python is known for its ease of use, powerful standard library, and dynamic semantics. It also has a large community of developers who keep on contributing towards its growth. The major focus behind creating it is making it easier for developers to read and understand, also reducing the lines of code.

History: -

Python, first created in 1980s by the Guido van Rossum, is one of the most popular programming languages. During his research at the National Research Institute for Mathematics and Computer Science in the Netherlands, he created Python – a super easy programming language in terms of reading and usage. The first ever version was released in the year 1991 which had only a few built-in data types and basic functionality.

Later, when it gained popularity among scientists for numerical computations and data analysis, in 1994, Python 1.0 was released with extra features like map, lambda, and filter functions. Followed by which adding new functionalities and bringing newer versions of Python came into fashion.

Python 1.5 released in 1997

Python 2.0 released in 2000

Python 3.0 in 2008 brought newer functionalities

The latest version of Python, Python 3.10 was released in 2021

Python Advance: -

Python topics are too difficult for beginners. This is also reflected in our image. The trail requires experience and beginners with insufficient experience could easily get dizzy. Those who have successfully completed our beginner's tutorial or who have acquired sufficient Python experience elsewhere should not have any problems. As everywhere in our tutorial, we introduce the topics as gently as possible. This part of our Python tutorial is aimed at advanced programmers.

Most people will probably ask themselves immediately whether they are at the right place here. As in various other areas of life and science, it is not easy to find and describe the dividing line between beginners and advanced learners in Python. On the other hand, it is also difficult to decide what the appropriate topics are for this part of the tutorial. Some topics are considered by some as particularly difficult, while others rate them as easy. Like the hiking trail in the picture on the right. For people with mountain experience, it is a walk, while people without experience or with a strong feeling of dizziness are already dreadful at the sight of the picture.

When asked what advanced topics are, i.e. Python topics that are too difficult for beginners, I was guided by my experiences from numerous Python trainings.

Those who have successfully completed our beginner's tutorial or have had sufficient Python experience elsewhere should have no problems. As everywhere in our tutorial, we introduce the topics as gently as possible.

Python Roadmap for Beginners: -

Basics- Syntax, Variables, Data Types, Conditionals, Loops Exceptions, Functions, Lists tuples, set, dictionaries.

Advanced- List comprehensions, generators, expressions, closures Regex, decorators, iterators, lamdas, functionals programming, map reduce, filters, threading, magic methods

OOP- Classes, inheritance, methods

Web frameworks- Django, Flask, Fast API

Data Science- NumPy, Pandas Seaborn Scilkit-learn, TensorFlow, Pytorch.

Testing- Unit testing, integration, testing,end to end testing ,load testing

Automation- File manipulations Web scraping GUI Automations Network Automations

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Mastering TensorFlow 2.0: A Comprehensive Guide for Beginners

Introduction Mastering TensorFlow 2.0: A Comprehensive Hands-On Guide for Beginners is a comprehensive tutorial designed to help beginners learn the fundamentals of TensorFlow 2.0, a popular open-source machine learning library developed by Google. This guide will cover the core concepts, implementation, and best practices of TensorFlow 2.0, providing readers with a solid foundation for building…

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[developer-tv]

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