All the programming exercises of the current course will be updated in this repo!!
Ex1 [VS]: Introduction to the Numpy Basics
Ex2 [VS]: One neuron network: Implementing the logistic regression with one neuron
Ex3 [VS]: Two neuron netork: Flower dataset with one hidden layer and one output layer
Ex4 [colab]: Development of fully connected neural network with synthetic data involving compile, training, and testing
Ex5 [colab]: CNN basics in Tensforflow
Ex6 [colab]: Digit recognition with CNN and Tensforflow
Ex7 [colab]: Pretrained model in tensorflow
Ex8 [colab]: Autoencoders
Ex9 [colab]: Variational autoencoders
Ex10 [colab]: GAN