Matthew Moocarme's Books

The TensorFlow Workshop

A hands-on guide to building deep learning models from scratch using real-world datasets

By: Matthew Moocarme,Anthony So,Anthony Maddalone

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The TensorFlow Workshop

A hands-on guide to building deep learning models from scratch using real-world datasets

By: Matthew Moocarme,Anthony So,Anthony Maddalone

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key FeaturesUnderstand the fundamentals of tensors, neural networks, and deep learningDiscover how to implement and fine-tune deep learning models for real-world datasetsBuild your experience and confidence with hands-on exercises and activitiesBook Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learnGet to grips with TensorFlow's mathematical operationsPre-process a wide variety of tabular, sequential, and image dataUnderstand the purpose and usage of different deep learning layersPerform hyperparameter-tuning to prevent overfitting of training dataUse pre-trained models to speed up the development of learning modelsGenerate new data based on existing patterns using generative modelsWho this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp the topics covered in this book more easily.

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601

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1800200226

ISBN 13

9781800200227

The Deep Learning with Keras Workshop

Learn how to define and train neural network models with just a few lines of code

By: Matthew Moocarme,Mahla Abdolahnejad,Ritesh Bhagwat

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The Deep Learning with Keras Workshop

Learn how to define and train neural network models with just a few lines of code

By: Matthew Moocarme,Mahla Abdolahnejad,Ritesh Bhagwat

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models Key FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scoresExplore advanced concepts such as sequential memory and sequential modelingReinforce your skills with real-world development, screencasts, and knowledge checksBook Description New experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks. What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework. The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data. By the end of this book, you'll have developed the skills you need to confidently train your own neural network models. What you will learnGain insights into the fundamentals of neural networksUnderstand the limitations of machine learning and how it differs from deep learningBuild image classifiers with convolutional neural networksEvaluate, tweak, and improve your models with techniques such as cross-validationCreate prediction models to detect data patterns and make predictionsImprove model accuracy with L1, L2, and dropout regularizationWho this book is for If you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.

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495

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Packt Publishing Ltd

Published Date

ISBN 10

1800564759

ISBN 13

9781800564756

Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

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Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API. Key FeaturesSolve complex machine learning problems with precisionEvaluate, tweak, and improve your deep learning models and solutionsUse different types of neural networks to solve real-world problemsBook Description Though designing neural networks is a sought-after skill, it is not easy to master. With Keras, you can apply complex machine learning algorithms with minimum code. Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model. By the end of this book, you will have the skills you need to use Keras when building high-level deep neural networks. What you will learnUnderstand the difference between single-layer and multi-layer neural network modelsUse Keras to build simple logistic regression models, deep neural networks, recurrent neural networks, and convolutional neural networksApply L1, L2, and dropout regularization to improve the accuracy of your modelImplement cross-validate using Keras wrappers with scikit-learnUnderstand the limitations of model accuracyWho this book is for If you have basic knowledge of data science and machine learning and want to develop your skills and learn about artificial neural networks and deep learning, you will find this book useful. Prior experience of Python programming and experience with statistics and logistic regression will help you get the most out of this book. Although not necessary, some familiarity with the scikit-learn library will be an added bonus.

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412

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1838554548

ISBN 13

9781838554545

The TensorFlow Workshop

A hands-on guide to building deep learning models from scratch using real-world datasets

By: Matthew Moocarme,Anthony So,Anthony Maddalone

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The TensorFlow Workshop

A hands-on guide to building deep learning models from scratch using real-world datasets

By: Matthew Moocarme,Anthony So,Anthony Maddalone

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N/A

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Solve jigsaw puzzle

Age

Page Count

601

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1800200226

ISBN 13

9781800200227

Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

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Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

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Solve jigsaw puzzle

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412

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Packt Publishing Ltd

Published Date

ISBN 10

1838554548

ISBN 13

9781838554545

Unexpected New Life

Reading the Gospel of Matthew

By: Matthew J. Marohl

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Unexpected New Life

Reading the Gospel of Matthew

By: Matthew J. Marohl

. . . from expected death comes unexpected new life!" The Gospel of Matthew does not shy away from the realities of struggle, suffering, doubt, and death. Yet, from the first names in the genealogy to the last words spoken by Jesus, the Gospel testifies to the promise that from expected death comes unexpected new life. Through the actions of Tamar, Rahab, Ruth, and Bathsheba, we experience the expectation of death and the promise of unexpected new life. In the birth story of Jesus, Joseph suspects Mary of committing adultery. It is this dilemma that is the focus of the narrative. If he reveals her pregnancy, she could be killed. If he conceals her pregnancy, he will be going against the law of the Lord. What is a righteous man to do? In Joseph's dilemma, this experience of expected death, the Gospel of Matthew proclaims the promise of unexpected new life. The promise of unexpected new life is a theme that continues throughout Matthew's Gospel in the life and ministry of Jesus. The call of his disciples is a call from death to new life. The teaching of Jesus focuses on the experience of death and the promise of new life. In both healing and curing, Jesus brings unexpected new life to those who face death. But it is the death and resurrection of Jesus that is the climax of unexpected new life in the Gospel of Matthew. Even as Jesus experiences a most horrific and humiliating death in the crucifixion, death and the grave do not have the final say. In bearing witness to Jesus' resurrection, the Gospel of Matthew proclaims the magnificent promise of unexpected new life. Matthew J. Marohl invites you in these pages to read the Gospel of Matthew in a new way, from a fresh perspective. Integrating insights from the study of Mediterranean anthropology, Marohl makes the cultural world of the Gospel come alive, so that as you read Matthew again (or perhaps for the first time) you will certainly experience the powerful promise that from expected death comes unexpected new life!

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Wipf and Stock Publishers

Published Date

ISBN 10

1621894339

ISBN 13

9781621894339

Matthew

The Gospel of Promised Blessings

By: Prof. Matthew L. Skinner

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Matthew

The Gospel of Promised Blessings

By: Prof. Matthew L. Skinner

Explore the tenderness and the tensions in the teachings of Jesus. The Gospel of Matthew portrays Jesus and his message as full of tender compassion and urgent warning. This six-part exploration of an enigmatic Gospel takes readers into the themes, topics, and tensions at the heart of Matthew's story about the life and work of Jesus. Chapters focus on blessing and comfort, judgment and retribution, the meaning of discipleship, Jesus’ vision for the Church and world, conflicts and complaints, and how the Gospel of Matthew speaks to believers today. The book can be read alone or used by small groups anytime throughout the year. Components include video teaching sessions featuring Matthew Skinner and a comprehensive Leader Guide.

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Page Count

126

Publisher

Abingdon Press

Published Date

ISBN 10

1791030157

ISBN 13

9781791030155

Book's by Matthew Moocarme

The TensorFlow Workshop

The TensorFlow Workshop

The Deep Learning with Keras Workshop

The Deep Learning with Keras Workshop

Applied Deep Learning with Keras

Applied Deep Learning with Keras

The TensorFlow Workshop

The TensorFlow Workshop

Applied Deep Learning with Keras

Applied Deep Learning with Keras

Unexpected New Life

Unexpected New Life

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