Programming

Our online library contains some publications, thanks to which programming will have no secrets from you. The books included here will introduce you to such languages as HTML, JavaScript, Python and CSS. Due to them, you will also learn how to create effective algorithms, design mobile applications or take care of the correct information architecture on websites.

Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition

Antonio Gulli, Amita Kapoor, Sujit Pal

Deep Learning with TensorFlow. Explore neural networks with Python

Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy

Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently

Christopher Bourez

Deep Reinforcement Learning Hands-On. A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF - Third Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Maxim Lapan

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition

Sudharsan Ravichandiran

Delphi 2007 dla WIN32 i bazy danych

Marian Wybrańczyk