Computer vision

Computer vision work using deep learning and other algorithms

Dr. Tirthajyoti Sarkar, Fremont, CA (Please feel free to add me on LinkedIn here)

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Requirements

• Python 3.4+
• NumPy ($ pip install numpy)
• MatplotLib ($ pip install matplotlib)
• Tensorflow ($ pip install tensorflow)
• Keras ($ pip install keras)

NOTE: Most of the Jupyter notebooks in this repo are built on Google Colaboratory using Google GPU cluster and a virtual machine. Therefore, you may not need to install these packages on your local machine if you also want to use Google colab. You can directly launch the notebooks in your Google colab environment by clicking on the links provided in the notebooks (of course, that makes a copy of my notebook on to your Google drive).

For more information about using Google Colab for your deep learning work, check their FAQ here.

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Notebooks

• Fashion MNIST image classification using densely connected network and 1/2/3 layer CNNs

• Horse or human image classification using Keras ImageGenerator and Google colaboratory platform

• Adding simple OOP principle to your deep learning workflow