tf_machine_learning_models

Tensorflow low-level API implementations for various Machine Learning algorithms

Models were implemented using Tensorflow 1.3. Create a conda environment using the .yml file in this repository

1. nn_mnist_tf.ipynb:

   • Fully connected deep neural network model using MNIST dataset.

2. mnist_cnn.ipynb

   • Convolution neural network model using MNIST dataset.
   • 2 convolutional + max pooling layers followed by two fully connected layers

3. time_series_predictive_model_rnn.ipynb

   • Recurrent neural network to model some time series data using the monthly-milk-production.csv dataset.

4. auto_encoder.ipynb

   • Linear autoencoder able to separate a 30 dimensional dataset using only two neurons