Search All - deep learning

Su T.P. Python Deep Learning

Python Deep Learning Tutorial

Computers
English
9978 Words
Ages 14 and up
17
0

Python Deep Learning Python Deep Learning Tutorial (Step-by-Step Tutorial For Beginners) Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras. The tutorial explains how the different libraries and frameworks can be applied to solve complex real world problems. This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving deep learning techniques such as convolutional neural nets, recurrent nets, back propagation, etc. Before you proceed with this tutorial, we assume that you have prior exposure to Python, Numpy, Pandas, Scipy, Matplotib, Windows, any Linux distribution, prior basic knowledge of Linear Algebra, Calculus, Statistics and basic machine learning techniques. [more]

Keywords: Python Deep Learning, Deep learning

$4.99

Su T.P. Deep learning with Keras

Keras is an open source deep learning framework for python.

Computers
English
15199 Words
Ages 14 and up
8
0

Deep learning with Keras Keras is an open source deep learning framework for python. Keras has been developed by an artificial intelligence researcher at Google named Francois Chollet. Leading organizations like Google, Square, Netflix, Huawei and Uber are currently using Keras. This tutorial walks through the installation of Keras, basics of deep learning, Keras models, Keras layers, Keras modules and finally conclude with some real-time applications. This tutorial is prepared for professionals who are aspiring to make a career in the field of deep learning and neural network framework. This tutorial is intended to make you comfortable in getting started with the Keras framework concepts. Before proceeding with the various types ofs concepts given in this tutorial, we assume that the readers have basic understanding of deep learning framework. In addition to this, it will be very helpful, if the readers have a sound knowledge of Python and Machine Learning. [more]

Keywords: Deep learning with Keras, Deep learning

$8.99

Su T.P. Learning TensorFlow

A Guide to Building Deep Learning Systems

Computers
English
10420 Words
Ages 14 and up
14
0

Learning TensorFlow A Guide to Building Deep Learning Systems * TensorFlow Tutorial TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow. TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework. This tutorial has been prepared for python developers who focus on research and development with various machine learning and deep learning algorithms. The aim of this tutorial is to describe all TensorFlow objects and methods. Before proceeding with this tutorial, you need to have a basic knowledge of any Python programming language. Knowledge of artificial intelligence concepts will be a plus point. [more]

Keywords: TensorFlow

$6.99

Daniel Fritzler Deep Fake

Science Fiction
German
1190 Words
Ages 16 and up
116
0

Der Foto und Videobeweis gilt als unanfechtbar. Doch Deep Fakes verändert hier die Spielregeln. Ich bin mir gar [more]

Keywords: Künstliche Intelligence, KI, Fake news, Bildbearbeitung, artificial intelligence, deep learning, fake, deep fake

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Mulayam Singh MACHINE LEARNING

Artificial Intelligence learning overview

Education
English
8686 Words
No Age Recommendation
43
0

The Evolution of Data Science and the Information Age.Data science is a large vast time period that encompasses a variety of disciplines and standards which includes big data, Artificial Intelligence (AI), data mining and machine learning. The self-discipline of analyzing giant volumes of data recognized as ‘data science’, is relatively new and has grown hand-in-hand with the improvement and widespread adoption of computers. Prior to computers, records used to be calculated and processed by hand underneath the umbrella of ‘statistics’ or what we would possibly now refer to as ‘classical statistics’. Baseball batting averages, for example, existed properly earlier than the creation of computers. Anyone with a pencil, notepad and primary arithmetic abilities could calculate Babe Ruth’s batting common over a season with the useful resource of classical statistics. The method of calculating a batting common concerned the dedication of time to accumulate and assessment batting sheets, and the software of addition and division. The key factor to make about classical data is that you don’t strictly need a laptop to work the statistics and draw new insight. As you’re working with small facts units it is feasible to even for pre-university college students to conduct statistics. Indeed data is nevertheless taught in colleges today, and as they have been for centuries. In this book you will learn all about machine learning and data mining. Hope you will love this book. [more]

Keywords: Artificial Intelligence., Machine Learning, Deep Learning, Neural Networks, Data Mining, Data Labeling, Reinforcement Learning, Bayesian Probability, Support Vector Machines, Data accumulation, Interpretation, machine learning course, Computer vision, Supervised learning, Neural network, Reinforcement learning

$2.99

BookRix

All Search Results „deep learning“

Books (125)

All Search Results „deep learning“

Books (125)

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