Welcome to this collection of posts and tutorials.
There are some posts that show important Deep Learning paper summaries, others showcase cool python libraries, and others will help you get started in Computer Vision and Object Dectection.
I currently work as a Data Scientist building Deep Learning models.
Posts
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Mechanics of Learning
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Working with aws neuron and Inferentia Instances
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Making an Object Detection App in Android with TF-Lite
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Fastbook Chapter 4 MNIST Basics
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Installing OpenCV for use in Python (pip)
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Creating Virtual Environments with virtualenv
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Paper Summary: End-to-End Object Detection with Transformers
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Deep Learning Flashcards
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Paper Summary: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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pyGAM tutorial: Getting Started with Generalized Additive Models in Python
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Paper Summary: Learning Data Augmentation Strategies for Object Detection
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Paper Summary: A Disciplined Approach to NN hyper-parameters: Part1 - Learning rate, batch size, momentum, and weight decay
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