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Classifying handwritten digits with Machine Learning

#artificialintelligence

To build our first antivirus, we need to know about the virus first. Every antivirus program needs to constantly update their database to defend against new virus thread. Day by day not only our security systems are getting smarter but the viruses as well. Let's see some example of viruses - Polymorphic virus - This type of virus is hard to detect because this virus changes its signature every time it creates a replica. Antivirus software takes more than days to detect this virus type.


Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7

#artificialintelligence

Last time we wrote an image classifier using TensorFlow for Poets. This time, we'll write a basic one using TF.Learn. To make it easier for you to try this out, I wrote a Jupyter Notebook for this episode -- https://goo.gl/NNlMNu This is a great way to get all the dependencies installed and properly configured. I've linked some additional notebooks below you can try out, too.


Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7

#artificialintelligence

Last time we wrote an image classifier using TensorFlow for Poets. This time, we'll write a basic one using TF.Learn. To make it easier for you to try this out, I wrote a Jupyter Notebook for this episode -- https://goo.gl/NNlMNu This is a great way to get all the dependencies installed and properly configured. I've linked some additional notebooks below you can try out, too.