Brief Introduction
How to start deep learning with tensorflow 2 - machine learning in the cloud with google colabDescription
Introduction to tensorflow 2.0
In this course you will learn how to use tensorflow 2.0 to create neural networks.
We will first take a quick review on the former tensorflow 1.x syntax and then start diving into the new tensorflow 2.0.
We will see how easy the new eager execution works and how to use the sequential and functional api. (if you already know keras you will find many things very familiar)
We will also learn how to create our own neural network class in tensorflow 2.0 using OOP (object orientated programing in python)
Finally we will leverage google colab to do image classification in the cloud. We first learn how to get the data, preprocess it and then designing our neural network model structure, train our network and finally make predictions on uploaded images.
We will use a kaggle dataset for the image classification task. All resources are either included or free to download.
So if that sound intersting to you then let's get into it!
Requirements
- Requirements
- my first answer to this is always - curiousity!
- Your committment to code along with me
- Basic knowledge in Python
- You should now basics of neural networks and what a tensor is
- tensorflow 1.x version knowledge is not required (but might be helpful for comparison)
Dan We
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