PDF Drive offered in: English »

Learning Tensorflow: A Guide to Building Deep Learning Systems

Learning Tensorflow: A Guide to Building Deep Learning Systems

242 Páginas · 2017 · 12.64 MB · inglés

by Tom Hope & Yehezkel S. Resheff & Itay Lieder

tensorflow deep work

Libros electrónicos gratis similares

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

564 Páginas·2017·45.31 MB·Nuevo!

...
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras

227 Páginas·2018·11.27 MB·Nuevo!

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as ...
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

192 Páginas·2019·2.74 MB·Nuevo!

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Pytho ...
Data Analysis From Scratch With Python: Beginner Guide using Python, Pandas, NumPy, Scikit-Learn, IPython, TensorFlow and Matplotlib

2018·2.79 MB·Nuevo!

***** BUY NOW (Will soon return to 25.59) ******Free eBook for customers who purchase the print book from Amazon****** A ...
Deep learning: adaptive computation and machine learning

801 Páginas·2016·18.39 MB·Nuevo!

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learn ...
Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

374 Páginas·2017·4.37 MB·Nuevo!

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a ...
Deep Learning with Python

386 Páginas·2017·10.91 MB

Chapter 7 introduces advanced techniques for building state-of-the-art deep- learning models. ▫ Chapter (such as an ...
Hands–On Machine Learning with Scikit–Learn and TensorFlow 2e

510 Páginas·2016·31.52 MB·Nuevo!

...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

425 Páginas·2018·12.58 MB·Nuevo!

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error ...
Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python

174 Páginas·2018·11.01 MB·Nuevo!

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the ...

Cargar archivos PDF más similares