Learn how to use Google’s ML titan .Introduction to TensorFlow
TensorFlow is one of the two titan frameworks in machine learning and data science. To operate effectively in either field, you need to become very familiar with TensorFlow or PyTorch — preferably both.
We will be focusing on the basics of TensorFlow in this article — there are no prerequisites other than an appetite to learn.
To be more specific, we will be speaking primarily about the high-level wrapper that we can call Keras. If you don’t know what that means, you will soon.
We will cover:
> TensorFlow and Keras > Functional v Sequential Approach - Sequential - Functional > Layered Approach > Key Methods - Summary - Preparation for Training 1\. Optimizer 2\. Loss Function 3\. Metrics - Training > Full Example Walkthrough - Preprocessing - Model - Results
If you prefer video, this article contains several short videos where I explain and work through each section.
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Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.
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