Deep Learning algorithms, concepts and applications developed in python using Tensorflow Core (Low Level API)
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Planar Data Classification
(keywords: binary classification, adam optimization, l2 regularization, decision boundaries)- Classification of planar data and plotting decision boundaries using a shallow neural n/w
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Classifying Numbers in Sign Language
(keywords: multiclass image classification, normalization, random mini batches, adam optimization, l2 regularization)- The dataset has been taken from deeplearning.ai course 2 and consists of colour images of size 64 x 64 pixels
- The classification was implemented using a 3 layer neural network with 12288 input units, 40 units in the first hidden layer, 20 in the second hidden layer, 6 units in the output layer.
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- Under Construction