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Tensorflow 2.0: Deep Learning and Artificial Intelligence

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BESTSELLER, 4.7 (143 ratings), Created by Lazy Programmer Team, Lazy Programmer Inc. English [Auto-generated] It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google's library for deep learning and artificial intelligence. Deep Learning has been responsible for some amazing achievements recently, such as: Generating beautiful, photo-realistic images of people and things that never existed (GANs) Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning) Self-driving cars (Computer Vision) Speech recognition (e.g. Siri) and machine translation (Natural Language Processing) Even creating videos of people doing and saying things they never did (DeepFakes - a potentially nefarious application of deep learning) Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.


Tensorflow 2.0: Deep Learning and Artificial Intelligence

#artificialintelligence

It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google's library for deep learning and artificial intelligence. Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning. In other words, if you want to do deep learning, you gotta know Tensorflow.



10 Free Resources of TensorFlow One Must Learn In 2020

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One of the popular open-source libraries in machine learning, TensorFlow provides a suitable abode with essential tools for ML researchers and developers in order to perform SOTA machine learning applications. According to a survey, this library is one of the most loved deep learning frameworks. In this article, we list down 10 free resources to learn TensorFlow in 2020. About: Advanced Machine Learning (ML) with TensorFlow on Google Cloud Platform Specialization is a course in Coursera offered by Google Cloud. This course is a little advanced for beginners and is meant for those who already entered the machine learning arena.


9 Tutorials To Become A Pro In Open-Source Machine Learning Framework

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Developed by Google Brain, TensorFlow is one of the most popular open-source libraries for numerical computation. This library helps in building and training deep neural network applications and offers APIs for beginners and experts to develop for desktop, mobile, web, and cloud. In this article, we list down 9 free tutorials to become a pro in the open-source machine learning framework, TensorFlow. In this official documentation, you will learn how to use machine learning techniques, utilise machine learning at production scale, creating and deploying TensorFlow models on the web and mobile, understanding TensorFlow's High-Level APIs and much more. In this tutorial, you will learn the basics and advance machine learning topics like Linear Regression, Classifiers, create, train and evaluate a neural network like CNN, RNN, autoencoders, etc.