This is the code repository for Deep Learning By Example, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic. This book starts with a quick overview of the essential concepts of data science and machine learning which are required to get started with deep learning.
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
if __name__ == '__main__':
info_string, models = create_model_with_kfold_cross_validation()
test_generality_crossValidation_over_test_set(info_string, models)
Install the required software/packages for this book: Keras, TensorFlow, Pandas, Numpy etc