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Deploying with Docker Containers
I explain how to use Docker containers to deploy a machine learning application. -
Deploy Machine Learning using Flask
In this post I explain how to run a machine learning model on a cloud computer and access its predictions via an API.
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Convolutional Neural Network
A convolutional neural network can perform vision tasks such as image classification. The convolution operation creates features that carry information about the spatial distribution of the data. We implement a convolutional neural network from scratch using tensors in python. -
Gradients Automation
We describe how to automate the calculation of gradients using tensors in python. This is very useful when building neural networks. We build a class that calculates the gradients without having to code them explicitly. This library is a toy-model that mimics professional libraries like the Pytorch or TensorFlow. -
Recurrent Neural Network
A recurrent neural network implements recurrency in the data. This is suitable for time-series forecasting, text generation, or text translation.
