Used custom parallel transformer's Encoder architecture to train model on News title & News description separately.
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Updated
Aug 24, 2024 - Jupyter Notebook
Used custom parallel transformer's Encoder architecture to train model on News title & News description separately.
The model is trained on images gathered from the COCO dataset, specifically selected to contain only one person in each image.
Used CNN approach to train model on MNIST and F-MNIST dataset.
Trained simple feed forward neural network on MNIST and F-MNIST Dataset. using model subclassing and custom training loop
Tensorflow 2: for Deep Learning Specialization | Imperial College London
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