Tensorflow 2 for Deep Learning - Tensor Basics

Tensorflow 2 for Deep Learning - Tensor Basics

Tensorflow is a DeepLearning library which has a lot of inbuilt classes and functions which allow you to perform these complex deep learning matrix multiplications and gradient calculations easily. The main Goal behind tensorflow is to make developing machine learning models easier and get it to a production environment. Tensorflow 2 for Deep Learning - Tensor Basics

What is Tensorlfow ?

Tensorflow is a DeepLearning library which has a lot of inbuilt classes and functions which allow you to perform these complex deep learning matrix multiplications and gradient calculations easily. The main Goal behind tensorflow is to make developing machine learning models easier and get it to a production environment.

Advantages of Tensorflow 2 over The first Version

As everyone already know, The updated version of tensorflow allows the user to create models easily whereas it was quite difficult with tensorflow’s first version.

Installation

You could directly use tensorflow from google colab (I prefer this) or type

“pip install tensorflow” for windows users and

“pip3 install tensorflow2” for linux users

Tensor Basics

Tensors are simply n-dimensional arrays. matrices , vectors, scalars all come under the term** “Tensor”.**

tensorflow2 machine-learning tensorflow deep-learning

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