Discover what happens inside the black box! To use deep learning, you will need to prepare data, choose the right model, train it, evaluate quality and accuracy, and account for uncertainty and variability in the output of the deployed solution....
This book introduces you step by step to the fundamental mathematical concepts that will be useful to you as a data specialist, - including vector calculus, linear algebra, and Bayesian inference, presenting them from the perspective of deep learning. The authors explain the mathematics, theory, and principles of building deep learning models, and then demonstrate the application of theory in practice, providing snippets of Python code with detailed comments. In this book, you will journey from the basics of algebra, calculus, and statistics to modern deep learning architectures that have emerged from the latest research.
1. The book introduces the fundamental mathematical concepts step by step that will be useful to you as a data specialist. 2. Key principles of neural network design. 3. Implementation of deep learning in Python using PyTorch. 4. Regularization and optimization of inefficient models. 5. Discover what happens inside the black box!
Discover what happens inside the black box! To use deep learning, you will need to prepare data, choose the right model, train it, evaluate quality and accuracy, and account for uncertainty and variability in the output of the deployed solution. This book introduces you step by step to the fundamental mathematical concepts that will be useful to you as a data specialist, - including vector calculus, linear algebra, and Bayesian inference, presenting them from the perspective of deep learning. The authors explain the mathematics, theory, and principles of building deep learning models, and then demonstrate the application of theory in practice, providing snippets of Python code with detailed comments. In this book, you will journey from the basics of algebra, calculus, and statistics to modern deep learning architectures that have emerged from the latest research.
1. The book introduces the fundamental mathematical concepts step by step that will be useful to you as a data specialist.
2. Key principles of neural network design.
3. Implementation of deep learning in Python using PyTorch.
4. Regularization and optimization of inefficient models.
5. Discover what happens inside the black box!
In stock
€ 43.69
Will be delivered to United States on 31 March (Tu):
By courier
from
€ 38.94
In stock
€ 43.69
Will be delivered to United States on 31 March (Tu):
Be the first to know about our current discounts, offers and new products!
Check icon
You have added to your basket
Check icon
You have added to favourites
Sold out
The item is currently out of stock.
In stock
Available in warehouse. You will receive the exact delivery date from the operator after the order confirmation.
To order
The product is delivered directly from the publisher. The order processing time is up to 14 days, you will receive the exact delivery date from the operator after the order confirmation.