Название: Deep Learning With Python : A Crash Course to Deep Learning with illustrations in Python Programming Language
Автор: Robert Kissinger
Издательство: Independently published
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 11.5 MB

New to the concept of Deep Learning With Python Programming Language? Then this book is for you.

This book is a simple guide to navigate your way through the concept of AI, Machine learning and how they all come together in Deep learning. Deep learning has gone through a series of transformations from its inception to become what it is today. This book tries to shed light about misconceptions people have about what Deep learning and what it is not. Expert analysis of TensorFlow and its application was referenced in the book, and beginners with a basic understanding of the Python programming language will also find this guide very useful and straightforward.

Artificial intelligence has become the hope of humanity, in an attempt to connect every dot between machines and man. With intelligent machine, it becomes very easy to for human being to relate with them just the way human relates with human. Artificial intelligence offers many promises, much of which are already manifesting in recent time.

While Artificial Intelligence entails the all-inclusive science of mimicking the abilities of human, machine learning is a particular subset of Artificial intelligence that trains machine how to incorporate learning. Machine learning and Deep learning are subset of Artificial intelligence.

One main key influence that drives more people into learning more about deep learning has always been the fact that the toolsets require for deployment has been totally democratized. In the olden times, working in the area of Deep Learning require expertise in CUDA and C++, which only few people were good at. Now, most of what is required to carry out advanced research in deep learning is basic Python expertise. This might not have been possible without the development of TensorFlow and Theano, which are the two symbolic tensor framework for Python language that work well with auto-differentiation, increase user-centric libraries like Keras, and simplification of new models to make learning attractive. Keras has actually become the learning solution of choice for many startups, researchers and graduate students dwelling on the field. Keras is a popular deep learning Application Programming Interface written in Python, using TensorFlow machine learning platform. Keras was built owing to the need to have fast experimentation with machine learning. The ability to move quickly from idea to reality is pertinent for efficient research.