FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming
Product Description
FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming
The purpose of this book is to help to spread TensorFlow knowledge among engineers who want to expand their wisdom in the exciting world of Machine Learning. We believe that anyone with an engineering background might require from now on Deep Learning, and Machine Learning in general, to apply it in their work. As the title indicates, it is a first contact with TensorFlow in order to get started with Deep Learning programming. The book has a practical nature, and therefore it reduces the theoretical part as much as possible, assuming that the reader has some basic understanding about Machine Learning.
Technical Specifications
You might also like
Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python)
—
Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
—
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
—
TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms
—
Machine Learning With Random Forests And Decision Trees: A Mostly Intuitive Guide, But Also Some Python
—
Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
—
Markov Models: Master Data Science and Unsupervised Machine Learning in Python
—
Make Your Own Neural Network
—
Getting Started with TensorFlow
—
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
—