BOOKS - PROGRAMMING - Mastering TensorFlow 2.x Implement Powerful Neural Nets across ...
Mastering TensorFlow 2.x Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data - Rajdeep Dua 2022 PDF BPB Publications BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
66393

Telegram
 
Mastering TensorFlow 2.x Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
Author: Rajdeep Dua
Year: 2022
Pages: 421
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Principles of Change How Psychotherapists Implement Research in Practice
Introduction to Responsible AI Implement Ethical AI Using Python, First Edition
Introduction to Responsible AI Implement Ethical AI Using Python, First Edition
Machine Learning with TensorFlow
TensorFlow 2 Pocket Reference
Машинное обучение и TensorFlow
Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulation, the complete guide to mastering the … (Mastering Python Programming from Scratc
The Executive Guide to Artificial Intelligence: How to identify and implement applications for AI in your organization
Designing for Scalability with ErlangOTP Implement Robust, Fault-Tolerant System
Обработка естественного языка с TensorFlow
Learning TensorFlow.js (Early Release)
Python for Tensorflow Pocket Primer
Обработка естественного языка с TensorFlow
Умные мобильные проекты с TensorFlow
TensorFlow для глубокого обучения
Hands-On Deep Learning with Tensorflow
Умные мобильные проекты с TensorFlow
Python for TensorFlow Pocket Primer
Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data
Programming-Based Formal Languages and Automata Theory Design, Implement, Validate, and Prove
The GE Work-Out : How to Implement GE|s Revolutionary Method for Busting Bureaucracy and Attacking Organizational Proble
Mental Detox: The Power and Guidance to Implement Peace, Joy, Balance and Financial Abund
Programming-Based Formal Languages and Automata Theory Design, Implement, Validate, and Prove
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine Learning with TensorFlow, 2nd Edition (Final)
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Mastering Primary Religious Education (Mastering Primary Teaching)
Mastering Primary Physical Education (Mastering Primary Teaching)
Mastering Primary Art and Design (Mastering Primary Teaching)
Success in Art Mastering Perspective Techniques for mastering one-, two-, and three-point perspective - 25+ Professional Artist Tips and Techniques
Прикладное машинное обучение с помощью Scikit-Learn и TensorFlow
Introduction to Deep Learning with complete Python and TensorFlow examples
TensorFlow Guide 3-in-1 Complete Learning Edition for Beginners to Experts
TensorFlow Guide 3-in-1 Complete Learning Edition for Beginners to Experts
Okta Administration: Up and Running: Implement enterprise-grade identity and access management for on-premises and cloud apps
Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras
Probabilistic Deep Learning With Python, Keras and TensorFlow Probability (Final)
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Programming-Based Formal Languages and Automata Theory: Design, Implement, Validate, and Prove (Texts in Computer Science)