Google colab. How to Use Google Colab for Deep Learning

Note: Installing the Earth Engine API and authenticating are necessary steps each time you begin working with a Colab notebook Note that before using the API you must initialize it
Saving and loading weights of a model The basic aim of training a DL model is to adjust the weights in such a way that it predicts the output correctly Our long term goal is to continue providing a free version of Colab, while also growing in a sustainable fashion to meet the needs of our users

Python Installation

The exclamation point tells the notebook cell to run the following command as a shell command.

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The test accuracy is around 97% for the model we trained above
Python Installation
Users interested in having more memory available to them in Colab, and more reliably, may be interested in
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Again, you can fix this problem by moving directly contained items into sub-folders
MaxPooling2D 2, 2 , keras These steps must be completed for each new Colab session or if you restart your Colab kernel or if your Colab virtual machine is recycled due to inactivity
Import the API Run the following cell to import the API into your session How much memory is available in Colab? Colab interface Opening notebooks from the allows you to access existing files from Google Drive, GitHub, and local hardware

How to Use Google Colab for Deep Learning

MaxPooling2D 2, 2 , keras.

How to Use Google Colab for Deep Learning
Import API and get credentials This section demonstrates how to import the Earth Engine Python API and authenticate access
Python Installation
To mitigate this issue, Google Colab offers us not only the classic CPU runtime but also an option for a GPU and TPU runtime as well
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It makes sense to only save the weights of the model, and load them when they are required
However, Google Colabs lacks the tools to help you It does not store any personal data
Using code snippet Execute this code block to mount your Google Drive on Colab: from google How do I change the editor font? This will download a kaggle

How to Use Google Colab for Deep Learning

A similar problem can occur when reading from other folders after a successful drive.

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The cell execution block is where you type your code
Python Installation
Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education
How to Use Google Colab for Deep Learning
GPUs and TPUs are sometimes prioritized for users who use Colab interactively rather than for long-running computations, or for users who have recently used less resources in Colab