Deep Learning with Python and Keras

Understand and build Deep Learning models for images, text and more using Python and Keras

Created by: Data Weekends
Learn the essentials of Data Science in just one weekend

Created by: Jose Portilla
Head of Data Science at Pierian Training

Created by: Francesco Mosconi
CEO at Catalit & Zero to Deep Learning

Created by: Pierian Training
Data Science and Machine Learning Training

What Will I Learn?

• To describe what Deep Learning is in a simple yet accurate way
• To explain how deep learning can be used to build predictive models
• To distinguish which practical applications can benefit from deep learning
• To install and use Python and Keras to build deep learning models
• To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data.
• To build, train and use fully connected, convolutional and recurrent neural networks
• To look at the internals of a deep learning model without intimidation and with the ability to tweak its parameters
• To train and run models in the cloud using a GPU
• To estimate training costs for large models
• To re-use pre-trained models to shortcut training time and cost (transfer learning)

Requirements

• Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)
• Use of bash shell (or equivalent command prompt) and basic commands to copy and move files
• Basic knowledge of linear algebra (what is a vector, what is a matrix, how to calculate dot product)
• Use of ssh to connect to a cloud computer

Target audience

• Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it
• Data scientists who are familiar with Machine Learning and want to develop a strong foundational knowledge of deep learning