Nezávislý zdroj údajov Adler Żelazko parowe z pompą wody LCD 3000W AD 5054 zadowolenie.pl
Deep Learning with Python - Audiobook, by Simon Winston

Deep Learning with Python - Audiobook, by Simon Winston

☆☆☆☆☆ (0 reviews) EAN: 9780466880187
Lowest price (incl. delivery)
6,99 USD
Offers
1
Last updated
pred 2 mesiacmi
Chirp Books Product price 6,99 USD Delivery free Spolu 6,99 USD Dostupnosť Dostupné Updated pred 2 mesiacmi View offer

Ceny a dostupnosť sa môžu zmeniť. Naposledy aktualizované: 20.08.2026 02:17.

EAN 9780466880187
Chirp
0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

A good review: say what you use it for, what you like, what bothers you and how long you have had it.
Rating

Your review goes to moderation and appears once approved.

No reviews yet — be the first!
Deep learning has revolutionized the field of artificial intelligence, enabling computers to perform complex tasks that were once thought to be exclusive to human intelligence. Python, with its rich ecosystem of libraries and frameworks, has emerged as the language of choice for implementing deep learning algorithms."Deep Learning with Python: Bridging the Gap for Advanced AI" is a comprehensive guide that takes readers on a journey through the world of deep learning, equipping them with the knowledge and skills necessary to bridge the gap between basic understanding and advanced applications.This book begins with a solid foundation in the fundamentals of deep learning, covering neural networks, deep architectures, and optimization techniques. Readers will explore the building blocks of deep learning with Python, including data preparation and preprocessing, model selection and evaluation, and an in-depth look at popular deep learning libraries and tools like TensorFlow, Keras, and PyTorch.Moving beyond the basics, the book dives into advanced techniques such as convolutional neural networks (CNNs) for image classification and object detection, recurrent neural networks (RNNs) for sequence modeling and language generation, and generative adversarial networks (GANs) for image generation and style transfer.The book also delves into deep learning for natural language processing, covering word embeddings, language modeling, and text classification. It explores transfer learning and deep reinforcement learning, providing insights into how pre-trained models can be leveraged and how deep learning can be applied to solve complex problems in reinforcement learning domains.

Similar products

Best offer 6,99 USD
Go to offer