Machine Learning Using Tensorflow with Keraas

Topics:

• Basics of Machine Learning: Classification & Regression

• Research Methodologies in Machine Learning

• Introduction to Scikit-learn and other python packages

• Load and Explore dataset with pandas.

• deep neural classification

• RNN-LSTM time series analysis

• CNN-convolutional image classification

• Installation-TensorFlow, Keras, and Python.

During the day, workshop attendees will gain the following practical hands-on experience:

• How to prepare, normalize, and encode data for deep learning systems.

   

• How to install deep learning libraries including TensorFlow, Keras, and CNTK, and the pros and cons of each library.

   

• How to create deep learning predictive systems for various kinds of data: classical business data, time series data (such as sales data), image data (such as the famous MNIST dataset for handwriting recognition).