Atrás

SKU/Artículo: AMZ-B0FPWZ1NKL

Hands-On Deep Learning with JAX, Flax, and PyTorch: A Practical Guide for Beginners and Beyond

Disponibilidad:
En stock

Peso con empaque:
0.35 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

Step-by-Step Explanations: Learn by doing, not just by reading. Each concept is introduced with simple language, practical code, and real-world projects using JAX, Flax, and PyTorch.
Beginner-Friendly: Written for curious minds with zero technical background. Every topic is broken down into bite-sized, manageable steps.
Project-Based Learning: Build hands-on projects—like image classifiers and natural language processing tools—while gaining real experience with the world’s most exciting AI frameworks.
Mistakes are Celebrated: The path to mastery is full of experiments and surprises. Here, mistakes are welcomed as part of your journey, and every small win is celebrated.
Practical, Modern, and Future-Proof: Get up to speed with the latest deep learning techniques, workflows, and tools used by researchers and industry professionals.
Understand the core principles of deep learning and neural networks
Work confidently with JAX, Flax, and PyTorch in Python
Build, train, and evaluate your own machine learning models from scratch
Apply deep learning to real-world tasks, from image recognition to natural language processing
Develop the confidence to experiment, troubleshoot, and grow as an AI practitioner

AR$72.554

44% OFF

AR$40.304

AR$72.554

44% OFF

AR$40.304

Llega en 8 a 12 días hábiles

con envío

Tienes garantía de entrega

Medios de pago

Cantidad

Este producto viaja de USA

a tus manos en

Medios de pago

Hands-On Deep Learning with JAX, Flax, and PyTorch: A Practical Guide for Beginners and Beyond

Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!!

Hands-On Neural Networks: Learn how to build and train your first neural network model using Python

Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Make Your Own Neural Network

Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Learn From Scratch Backpropagation Neural Networks Using Python GUI & MariaDB: Hands-on, step by step approach to understand the backpropagation ... classification through project based examples

Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Nonprofit Stewardship: A Better Way to Lead Your Mission-Based Organization

Información útil

Centro de ayuda

Todo en un solo lugar

Comprá con tranquilidad

Hands-On Deep Learning with JAX, Flax, and PyTorch: A Practical Guide for Beginners and Beyond

Productos Relacionados

Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!!

Hands-On Neural Networks: Learn how to build and train your first neural network model using Python

Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Make Your Own Neural Network

Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Learn From Scratch Backpropagation Neural Networks Using Python GUI & MariaDB: Hands-on, step by step approach to understand the backpropagation ... classification through project based examples

Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Otros Productos

Nonprofit Stewardship: A Better Way to Lead Your Mission-Based Organization

Compra protegida

¿Cómo comprar?

Condiciones según método de envío

Correo privado:

Correo Argentino:

¡Aseguramos la entrega de tu orden!

¿Cómo solicitar una devolución?

Tarjetas de Crédito y Débito

Pagos a través de PayPal

Pagos a través de MODO

¡Elegí entre pagar en pesos o en dólares!

¿Cómo comprar?

Hacemos todo por ti

Tarjetas de Crédito y Débito

Pagos a través de PayPal

Pagos a través de MODO y Mercado Pago

Tienes garantía de entrega

¡Suscribite y hacé que todo llegue con ofertas!