Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.

N� de r�f. du vendeur GWSVV.1719443718.A

Contacter le vendeur

Signaler cet article

D�tails bibliographiques

Titre: Programming With Python: 4 Manuscripts - Deep Learning With Keras, Convolutional Neural Networks In Python, Python Machine Learning, Machine Learning With Tensorflow
�diteur: CreateSpace Independent Publishing Platform
Date de parution: 2018
Langue: anglais
ISBN � 10 chiffres: 1719443718
ISBN � 13 chiffres: 9781719443715
Reliure: Couverture souple
�tat de l'article: acceptable

A propos de ce titre

Synopsis

Programming With Python - 4 BOOK BUNDLE!!

Deep Learning with Keras

Here Is a Preview of What You’ll Learn Here…

The difference between deep learning and machine learning
Deep neural networks
Convolutional neural networks
Building deep learning models with Keras
Multi-layer perceptron network models
Activation functions
Handwritten recognition using MNIST
Solving multi-class classification problems
Recurrent neural networks and sequence classification
And much more...

Convolutional Neural Networks in Python

Here Is a Preview of What You’ll Learn In This Book…

Convolutional neural networks structure
How convolutional neural networks actually work
Convolutional neural networks applications
The importance of convolution operator
Different convolutional neural networks layers and their importance
Arrangement of spatial parameters
How and when to use stride and zero-padding
Method of parameter sharing
Matrix multiplication and its importance
Pooling and dense layers
Introducing non-linearity relu activation function
How to train your convolutional neural network models using backpropagation
How and why to apply dropout
CNN model training process
How to build a convolutional neural network
Generating predictions and calculating loss functions
How to train and evaluate your MNIST classifier
How to build a simple image classification CNN
And much, much more!

Python Machine Learning

Here Is A Preview Of What You’ll Learn Here…

Basics behind machine learning techniques
Different machine learning algorithms
Fundamental machine learning applications and their importance
Getting started with machine learning in Python, installing and starting SciPy
Loading data and importing different libraries
Data summarization and data visualization
Evaluation of machine learning models and making predictions
Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
Solving multi-clasisfication problems
Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn
Solving multi-label classification problems
And much, much more...

Machine Learning With TensorFlow

Here Is a Preview of What You’ll Learn Here…

What is machine learning
Main uses and benefits of machine learning
How to get started with TensorFlow, installing and loading data
Data flow graphs and basic TensorFlow expressions
How to define your data flow graphs and how to use TensorBoard for data visualization
Main TensorFlow operations and building tensors
How to perform data transformation using different techniques
How to build high performance data pipelines using TensorFlow Dataset framework
How to create TensorFlow iterators
Creating MNIST classifiers with one-hot transformation

Get this book bundle NOW and SAVE money!

Pr�sentation de l'�diteur

!! Special 2-In-1 Deal - Buy The Paperback Version And Get The Ebook For FREE !!

Programming With Python - 4 BOOK BUNDLE!!

Deep Learning with Keras

Here Is a Preview of What You’ll Learn Here...

The difference between deep learning and machine learning
Deep neural networks
Convolutional neural networks
Building deep learning models with Keras
Multi-layer perceptron network models
Activation functions
Handwritten recognition using MNIST
Solving multi-class classification problems
Recurrent neural networks and sequence classification
And much more...

Convolutional Neural Networks in Python

Here Is a Preview of What You’ll Learn In This Book...

Convolutional neural networks structure
How convolutional neural networks actually work
Convolutional neural networks applications
The importance of convolution operator
Different convolutional neural networks layers and their importance
Arrangement of spatial parameters
How and when to use stride and zero-padding
Method of parameter sharing
Matrix multiplication and its importance
Pooling and dense layers
Introducing non-linearity relu activation function
How to train your convolutional neural network models using backpropagation
How and why to apply dropout
CNN model training process
How to build a convolutional neural network
Generating predictions and calculating loss functions
How to train and evaluate your MNIST classifier
How to build a simple image classification CNN
And much, much more!

Python Machine Learning

Here Is A Preview Of What You’ll Learn Here...

Basics behind machine learning techniques
Different machine learning algorithms
Fundamental machine learning applications and their importance
Getting started with machine learning in Python, installing and starting SciPy
Loading data and importing different libraries
Data summarization and data visualization
Evaluation of machine learning models and making predictions
Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
Solving multi-clasisfication problems
Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn
Solving multi-label classification problems
And much, much more...

Machine Learning With TensorFlow

Here Is a Preview of What You’ll Learn Here...

What is machine learning
Main uses and benefits of machine learning
How to get started with TensorFlow, installing and loading data
Data flow graphs and basic TensorFlow expressions
How to define your data flow graphs and how to use TensorBoard for data visualization
Main TensorFlow operations and building tensors
How to perform data transformation using different techniques
How to build high performance data pipelines using TensorFlow Dataset framework
How to create TensorFlow iterators
Creating MNIST classifiers with one-hot transformation

Get this book bundle NOW and SAVE money!

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

Description de la librairie

Goodwill of Silicon Valley?s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise. Founded in Santa Clara County in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients? sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.

Visitez la page d�accueil du vendeur

Informations commerciales relatives au vendeur

Goodwill of Silicon Valley
1080 North 7th Street, San Jose, CA, 95112, U.S.A.

Conditions de vente et de livraison

Conditions g�n�rales de vente

We guarantee the condition of every book as it's described on the Abebooks website. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the [Ask bookseller a question] link to contact us and we'll respond within 2 business days.