azfarkhoja305 / deep-learning-using-tensorflow-core

Deep Learning algorithms, concepts and applications developed in python using Tensorflow Core (Low Level API)

Deep-Learning-using-Tensorflow-Core

Deep Learning algorithms, concepts and applications developed in python using Tensorflow Core (Low Level API)

Contents

• 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

• 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.

• Fashion MNIST

  • Under Construction