Mastering TensorFlow: Unleashing the Power of Deep...

Main
Computers - Networking
Mastering TensorFlow: Unleashing the...

Mastering TensorFlow: Unleashing the Power of Deep Learning: A Hands-On Guide to Building Neural Networks, Image Processing, and Natural Language Understanding with TensorFlow

Ansari Hasanraza

3.0 / 5.0

Насколько вам понравилась эта книга?

Какого качества скаченный файл?

Скачайте книгу, чтобы оценить ее качество

Какого качества скаченные файлы?

Категории:

Computers - Networking

Год:

2024

Язык:

english

Страницы:

110

Файл:

PDF, 39.46 MB

IPFS:

,

english, 2024

Читать Онлайн

Выполняется конвертация в

Конвертация в не удалась

Вас может заинтересовать

Chloe Annable — Python Machine Learning: A Step-by-Step Journey with Scikit-Learn and Tensorflow for Beginners

ETC - Et Tu Code — Networking in Distributed Systems: A comprehensive guide to Network Communication in Distributed Systems

Chloe Annable — Python Machine Learning: A Step-by-Step Journey with Scikit-Learn and Tensorflow for Beginners

Stefania Cristina and Mehreen Saeed — Building Transformer Models with Attention

Vere salazar — Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science

Yokota, Masao — Natural language understanding and cognitive robotics

Chao Wang — Domain-Specific Computer Architectures for Emerging Applications; Machine Learning and Neural Networks

Karm Veer Arya & Ciro Rodriguez Rodriguez & Saurabh Singh & Abhishek Singhal — Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Ashish Kumar — Visual Object Tracking using Deep Learning

Anitha S. Pillai, Roberto Tedesco, (eds.) — Machine Learning and Deep Learning in Natural Language Processing

Baochang Zhang, Sheng Xu, Mingbao Lin, Tiancheng Wang, David Doermann — Binary Neural Networks: Algorithms, Architectures, and Applications

Yinpeng Wang, Qiang Ren — Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

C. K. Dhaliwal, Poonam Rana, T. P. S. Brar — Python Programming: A Step-by-Step Guide to Learning the Language

Domas, Stephanie, Domas, Christopher — x86 Software Reverse-Engineering, Cracking, and Counter-Measures (Tech Today)

Marco Cremonini — Data Science Fundamentals with R, Python, and Open Data

Vasques, Xavier — Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

Howard Huang — Deep Learning with PyTorch, Second Edition (MEAP V03)

Rob Reider, Alex Michalka — Build a Robo-Advisor with Python (From Scratch): Automate your financial and investment decisions (MEAP)

Stan Z. Li, Anil K. Jain, Jiankang Deng — Handbook of Face Recognition: The Deep Neural Network Approach, 3rd Edition

Leonid Berlyand, Pierre-Emmanuel Jabin — Mathematics of Deep Learning: An Introduction

陳鴻敏 — TensorFlow模型解析與範例大全

P Divadkar, Varun — Learn Autonomous Programming with Python: Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation

Mirza Rahim Baig — Optimizing AI and Machine Learning Solutions: Your Ultimate Guide to Building High-Impact Ml/Ai Solutions

Mugesh S. — Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python

Vishal Rajput — Ultimate Neural Network Programming with Python: Create Powerful Modern AI Systems by Harnessing Neural Networks with Python, Keras, and TensorFlow

Jonah Gamba — Deep Learning Models: A Practical Approach for Hands-On Professionals

Hasanraza Ansari — Mastering TensorFlow: Unleashing the Power of Deep Learning

Van Der Post, Hayden — Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python

Bisette, Vincent & Van Der Post, Hayden — Neural Network: Mastering the Art of Algorithmic Trading.: Building Algorithmic Trading Strategies with Deep Learning in Python

Dr. VISHWAS MISHRA, Dr. VENUMADHAVA M., B. LALITHADEVI, & 1 more — Neural Networks and Deep Learning: Theoretical Insights and Frameworks

Lena Neill — Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow

Millie, Katie — Natural Language Processing for TensorFlow, NLTK, Keras with Python

Muhammad Abdullahi, Abdeladim Fadheli — Cryptography with Python

Связанные Подборки