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  • Authors: Ivan Gridin
  • Authors: Sandipan Dey
  • Authors: Saurabh Chandrakar
  • Authors: Tapas Bandopadhyay

 the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems using different algorithms such as spatial filters and create a super resolution image using SRGAN.

Price ₹1,099.00

Key Features
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.

● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.

Price ₹999.00

● In this book, there is a step-by-step explanation of each python code for better understanding and readability. Each topic is explained by citing the examples with proper relevant content. The reader can easily co-relate the topic and an example side by side. Also, a lot of examples are provided in each chapter such that the reader can practice and learn very easily.

Price ₹799.00