Deep Learning Essentials
Uitgelicht
|
43,90 |
Naar shop
|
|
43,90 |
Naar shop
|
| VERGELIJK ALLE AANBIEDERS (2) | ||
Beschrijving
Bol
The book "Deep Learning Essentials: Concepts, Algorithms, and Techniques" provides a comprehensive introduction to the fundamental principles and methodologies of deep learning. It is designed for students, researchers, and professionals seeking to understand the theoretical foundations and practical implementations of modern neural network architectures. The book begins with an overview of machine learning basics, including supervised, unsupervised, and reinforcement learning, and then transitions into the core concepts of deep learning such as perceptrons, activation functions, and backpropagation. The book discusses techniques for regularization, hyperparameter tuning, and transfer learning, enabling efficient training and generalization.
Beschrijving
(2)
The book "Deep Learning Essentials: Concepts, Algorithms, and Techniques" provides a comprehensive introduction to the fundamental principles and methodologies of deep learning. It is designed for students, researchers, and professionals seeking to understand the theoretical foundations and practical implementations of modern neural network architectures. The book begins with an overview of machine learning basics, including supervised, unsupervised, and reinforcement learning, and then transitions into the core concepts of deep learning such as perceptrons, activation functions, and backpropagation. The book discusses techniques for regularization, hyperparameter tuning, and transfer learning, enabling efficient training and generalization.
AmazonPages: 72, Paperback, LAP Lambert Academic Publishing
Productspecificaties
Prijshistorie
* Prijshistorie bevat geen data van Amazon.
Prijzen voor het laatst bijgewerkt op:
Gerelateerde resultaten
