Deep training with R and keras. 2nd edition. Sholle F.

Having read this book, you will get a clear idea of ​​what deep training is when it should be applied and what its restrictions should be. The authors describe the standard workflow for a solution to the solution of machine learning and tell how to eliminate frequently emerging problems. The use of Keras is comprehensively considered to solve a wide variety of applied tasks, including classification and segmentation of images, predicting time series, classification of text, machine translation, text generation and much more.

The publication is addressed to readers with average programming skills for R. Experience with Keras, TensorFlow or Deep Tuition models is not required.