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21Publicado 2021Tabla de Contenidos: “…Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features…”
Libro electrónico -
22Publicado 2017“…Learning PySpark. Japanese…”
Libro electrónico -
23Publicado 2023Tabla de Contenidos: “…Chapter 1: Introduction to PyTorch, Tensors, and Tensor Operations -- Chapter 2: Probability Distributions Using PyTorch -- Chapter 3: CNN and RNN Using PyTorch -- Chapter 4: Introduction to Neural Networks Using PyTorch -- Chapter 5: Supervised Learning Using PyTorch -- Chapter 6: Fine-Tuning Deep Learning Models Using PyTorch -- Chapter 7: Natural Language Processing Using PyTorch -- Chapter 8: Distributed PyTorch Modelling, Model Optimization and Deployment -- Chapter 9: Data Augmentation, Feature Engineering and Extractions for Image and Audio -- Chapter 10: PyTorch Model Interpretability and Interface to Sklearn…”
Libro electrónico -
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26por Pajankar, Ashwin. authorTabla de Contenidos: “…Chapter 1: Introduction to Single Board Computers and Raspberry Pi -- Chapter 2: Important Linux Commands and Remote Connectivity -- Chapter 3: Introduction to Python -- Chapter 4: Introduction to Supercomputers -- Chapter 5: Message Passing Interface -- Chapter 6: Building the Supercomputer -- Chapter 7: Overclocking Raspberry Pi -- Chapter 8: Parallel Programming in Python 3 -- Chapter 9: Introduction to SciPy Stack and Symbolic Programming -- Chapter 10: Introduction to NumPy -- Chapter 11: Introduction to SciPy -- Chapter 12: Signal Processing with SciPy -- Chapter 13: Image processing with SciPy -- Chapter 14: Matplotlib…”
Publicado 2017
Libro electrónico -
27Publicado 2018Tabla de Contenidos: “…-- Hardware availability -- Data and algorithms -- Deep learning frameworks -- PyTorch -- Summary -- Chapter 2: Building Blocks of Neural Networks -- Installing PyTorch -- Our first neural network -- Data preparation -- Scalar (0-D tensors) -- Vectors (1-D tensors) -- Matrix (2-D tensors) -- 3-D tensors -- Slicing tensors -- 4-D tensors -- 5-D tensors -- Tensors on GPU -- Variables -- Creating data for our neural network -- Creating learnable parameters -- Neural network model -- Network implementation -- Loss function -- Optimize the neural network -- Loading data -- Dataset class -- DataLoader class -- Summary -- Chapter 3: Diving Deep into Neural Networks -- Deep dive into the building blocks of neural networks -- Layers - fundamental blocks of neural networks -- Non-linear activations -- Sigmoid -- Tanh -- ReLU -- Leaky ReLU -- PyTorch non-linear activations -- The PyTorch way of building deep learning algorithms -- Model architecture for different machine learning problems -- Loss functions -- Optimizing network architecture -- Image classification using deep learning -- Loading data into PyTorch tensors -- Loading PyTorch tensors as batches -- Building the network architecture -- Training the model -- Summary -- Chapter 4: Fundamentals of Machine Learning -- Three kinds of machine learning problems -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Machine learning glossary…”
Libro electrónico -
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29Publicado 2016“…Make : getting started with Processing.py : making interactive graphics with Python's processing mode…”
Libro electrónico -
30Tabla de Contenidos: “…The Application and ApplicationWindow Classes -- 3. Some Simple PyGTK Applications -- 4. Containers -- 5. Basic Widgets -- 6. …”
Libro electrónico -
31por Singh, Pramod. author“…Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. …”
Publicado 2019
Libro electrónico -
32Publicado 2015Tabla de Contenidos: “…Time for action - deciding with the if statementThe for loop; Time for action - repeating instructions with loops; Python functions; Time for action - defining functions; Python modules; Time for action - importing modules; NumPy on Windows; Time for action - installing NumPy, matplotlib, SciPy, and IPython on Windows; NumPy on Linux; Time for action - installing NumPy, matplotlib, SciPy, and IPython on Linux; NumPy on Mac OS X; Time for action - installing NumPy, SciPy, matplotlib, and IPython with MacPorts or Fink; Building from source; Arrays; Time for action - adding vectors…”
Libro electrónico -
33Publicado 2015Libro electrónico
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34Tabla de Contenidos: “…Chapter 1: Introduction to PySparkSQL -- Chapter 2: Some time with Installation -- Chapter 3: IO in PySparkSQL -- Chapter 4 : Operations on PySparkSQL DataFrames -- Chapter 5 : Data Merging and Data Aggregation using PySparkSQL -- Chapter 6: SQL, NoSQL and PySparkSQL -- Chapter 7: Structured Streaming -- Chapter 8 : Optimizing PySparkSQL -- Chapter 9 : GraphFrames…”
Libro electrónico -
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36Publicado 2018“…Build useful and effective deep learning models with the PyTorch Deep Learning framework About This Video Explore PyTorch and the impact it has made on Deep Learning Design and implement powerful neural networks to solve some impressive problems in a step-by-step manner Follow the examples to solve similar use cases outside this course In Detail This video course will get you up-and-running with one of the most cutting-edge deep learning libraries: PyTorch. …”
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37Publicado 2019“…In this video course, you'll learn how to use PyGame, an easy-to-learn Python library, to create interactive experiences such as games, demonstrations, and exercises. …”
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38Publicado 2014Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with NumPy; Python; Installing NumPy, Matplotlib, SciPy, and IPython on Windows; Installing NumPy, Matplotlib, SciPy, and IPython on Linux; Installing NumPy, Matplotlib, and SciPy on Mac OS X; Building from source; NumPy arrays; Adding arrays; Online resources and help; Summary; Chapter 2: NumPy Basics; The NumPy array object; The advantages of using NumPy arrays; Creating a multidimensional array; Selecting array elements; NumPy numerical types…”
Libro electrónico -
39por Ciesla, Robert. authorTabla de Contenidos: “…Chapter 1: Stories and How to Craft Them -- Chapter 2: The (Ancient) Art of Interactive Fiction -- Chapter 3: The Modern Visual Novel -- Chapter 4: Working in Ren'Py, Twine, and TyranoBuilder- Chapter 5: Deeper Down the Dungeon -- Chapter 6: Deploying for Popular Platforms -- Chapter 7: Three Little Games -- Chapter 8: Promotional Strategies…”
Publicado 2019
Libro electrónico -
40Publicado 2020Tabla de Contenidos: “…Intro -- Copyright -- dedication -- contents -- front matter -- foreword -- preface -- acknowledgments -- about this book -- Who should read this book -- How this book is organized: A roadmap -- About the code -- Hardware and software requirements -- liveBook discussion forum -- Other online resources -- about the authors -- about the cover illustration -- Part 1. Core PyTorch -- 1 Introducing deep learning and the PyTorch Library -- 1.1 The deep learning revolution -- 1.2 PyTorch for deep learning -- 1.3 Why PyTorch? …”
Libro electrónico