Uczenie maszynowe

Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley...

Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks

Deep learning dla programistów. Budowanie aplikacji AI za pomocą fastai i PyTorch

Jeremy Howard, Sylvain Gugger

Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling

Wei Di, Jianing Wei, Anurag Bhardwaj

Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python

Dr. Pablo Rivas

Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras

Rajalingappaa Shanmugamani

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora , Tanuj...

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Deep learning i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania

David Foster

Deep Learning. Praca z językiem Python i biblioteką Keras

Francois Chollet

Deep Learning. Praca z językiem R i biblioteką Keras

Francois Chollet, J. J. Allaire

Deep Learning. Praktyczne wprowadzenie

Josh Patterson, Adam Gibson

Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico

Deep Learning. Receptury

Douwe Osinga

Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter...