Home eBooks Download › deep learning with fast ai

Deep Learning With Fast Ai

Download Deep Learning With Fast Ai PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Deep Learning With Fast Ai book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Deep Learning For Coders With Fastai And Pytorch

DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Deep Learning With Fastai Cookbook

DOWNLOAD
Author : Mark Ryan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-24

Deep Learning With Fastai Cookbook written by Mark Ryan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.

Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key FeaturesDiscover how to apply state-of-the-art deep learning techniques to real-world problemsBuild and train neural networks using the power and flexibility of the fastai frameworkUse deep learning to tackle problems such as image classification and text classificationBook Description fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems. The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai. By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models. What you will learnPrepare real-world raw datasets to train fastai deep learning modelsTrain fastai deep learning models using text and tabular dataCreate recommender systems with fastaiFind out how to assess whether fastai is a good fit for a given problemDeploy fastai deep learning models in web applicationsTrain fastai deep learning models for image classificationWho this book is for This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book.

Deep Learning With Fast Ai

DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01

Deep Learning With Fast Ai written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.

"Deep Learning with Fast.ai" "Deep Learning with Fast.ai" provides a comprehensive and contemporary roadmap for mastering deep learning through the lens of the Fast.ai ecosystem. The book opens by expertly blending the history, principles, and philosophy of modern neural networks with Fast.ai's distinctive top-down, practical teaching methodology, and design. Readers are introduced to the powerful abstractions and extensibility of Fast.ai, which leverages PyTorch for a seamless, high-performance user experience. Through clear explanations of core concepts—ranging from reproducibility and responsible AI to balancing mathematical theory with hands-on application—the book sets a strong foundation for learners and professionals alike. The book delves deeply into real-world workflows, guiding practitioners through flexible data pipelines, rigorous data augmentation, and innovative semi-supervised and out-of-core processing, all while addressing the challenges of diverse data sources. Subsequent chapters thoroughly unpack modeling fundamentals, from the versatile Learner abstractions and event-driven callbacks to advanced optimization, regularization, and efficient resource management. Covering transfer learning, model fine-tuning, and domain adaptation, the text empowers users to adapt state-of-the-art techniques for both typical and novel scenarios across computer vision, natural language processing, and tabular data—supplemented by practical chapters on model deployment, interpretation, and monitoring in production environments. Designed with the needs of modern machine learning practitioners and researchers in mind, "Deep Learning with Fast.ai" goes beyond standard use cases to explore innovative avenues such as integrating with external libraries, implementing custom neural components, and scaling for industrial hardware. With dedicated discussions on security, adversarial robustness, ethics, explainability, and the evolving future of AI, this book serves as both a practical toolkit and a forward-looking reference. Whether you are a developer, data scientist, researcher, or educator, this volume invites you to unlock the potential of deep learning with clarity, responsibility, and cutting-edge best practices.

Deep Learning For Coders With Fastai And Pytorch

DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Hands On Python With Fastai

DOWNLOAD
Author : SARFUL. HASSAN
language : en
Publisher: Independently Published
Release Date : 2025-02-10

Hands On Python With Fastai written by SARFUL. HASSAN and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.

Learn Python and Deep Learning with Fastai - A Beginner's Guide to Building AI Models Are you looking to learn deep learning and artificial intelligence using Python and Fastai? Whether you're a beginner in machine learning or looking to strengthen your skills, "Hands-On Python with Fastai: A Practical Guide for Beginners" is the perfect resource to get started with Python programming and machine learning models. Inside this comprehensive guide, you'll discover: Python for Machine Learning: Master the basics of Python and its key libraries for machine learning, including NumPy, Pandas, and Matplotlib. Fastai Deep Learning Library: Learn how to use Fastai for building powerful and easy-to-train deep learning models for various tasks like image classification, text analysis, and time series forecasting. Hands-On Projects: Work through real-world projects such as image classification, sentiment analysis, and customer churn prediction, and understand how to implement them using Fastai. Transfer Learning and Fine-Tuning: Discover how to leverage pretrained models to improve the accuracy of your deep learning models and speed up your training time. Model Deployment: Learn how to export your trained models for real-world applications using Flask and FastAPI, and deploy them for AI-powered applications. With step-by-step instructions and practical examples, this book will help you become proficient in machine learning and artificial intelligence-no prior experience required. By the end, you'll be confident in using Fastai and Python to create your own AI models and start solving complex problems. Why choose this book? Beginner-Friendly: Learn at your own pace with clear explanations and easy-to-follow examples. Real-World Focus: Practical, hands-on projects help you gain valuable experience. Comprehensive Coverage: Covers everything from the basics of Python to advanced deep learning techniques. If you're ready to dive into AI development and deep learning with Fastai, this book is your ideal starting point. Unlock the power of machine learning with Python and Fastai today!

Deep Learning Examples With Pytorch And Fastai

DOWNLOAD
Author : Bernhard J Mayr Mba
language : en
Publisher:
Release Date : 2020-09-29

Deep Learning Examples With Pytorch And Fastai written by Bernhard J Mayr Mba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-29 with categories.

The concept of Deep Learning utilizes deep neural nets to accomplish task from artificial intelligence like: Computer Vision: Image Classification, Object Detection / Tracking Natural Language Understanding: Text Analyses, Language Translation, Image Caption Generation... ... The Book Deep Learning Examples with PyTorch and fastai - A Developers' Cookbook is full of practical examples on how to apply the deep learning frameworks PyTorch and fastai on different problems. What's inside the book? Build an Image Classifier from Scratch How does SGD - Stochastic Gradient Descent - work? Multi-Label Classification Cross-Fold-Validation FastAI - A Glance on the internal API of the deep learning framework Image Segmentation Style-Transfer Server deployment of deep learning models Keypoints Detection Object Detection Super-resolution GANs Siamese Twins Tabular Data with FastAI Ensembling Models with TabularData Analyzing Neural Nets with the SHAP Library Introduction to Natural Language Processing

Deep Learning For Coders With Fastai Pytorch

DOWNLOAD
Author : Jeremy Howard (Scientist)
language : en
Publisher:
Release Date : 2021

Deep Learning For Coders With Fastai Pytorch written by Jeremy Howard (Scientist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.

Machine Learning For Tabular Data

DOWNLOAD
Author : Mark Ryan
language : en
Publisher: Simon and Schuster
Release Date : 2025-03-25

Machine Learning For Tabular Data written by Mark Ryan and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.

"Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular business data sources such as spreadsheets, databases, and logs. You ll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline."

Deep Learning With Pytorch

DOWNLOAD
Author : Vishnu Subramanian
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-23

Deep Learning With Pytorch written by Vishnu Subramanian and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with Computers categories.

Build neural network models in text, vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cutting-edge deep learning algorithms. Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios; Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples; Book Description Deep learning powers the most intelligent systems in the world, such as Google Voice, Siri, and Alexa. Advancements in powerful hardware, such as GPUs, software frameworks such as PyTorch, Keras, Tensorflow, and CNTK along with the availability of big data have made it easier to implement solutions to problems in the areas of text, vision, and advanced analytics. This book will get you up and running with one of the most cutting-edge deep learning libraries—PyTorch. PyTorch is grabbing the attention of deep learning researchers and data science professionals due to its accessibility, efficiency and being more native to Python way of development. You'll start off by installing PyTorch, then quickly move on to learn various fundamental blocks that power modern deep learning. You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems. This book explains the concepts of various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the math behind them. You will also learn about GPU computing during the course of the book. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images. By the end of the book, you'll be able to implement deep learning applications in PyTorch with ease. What you will learn Use PyTorch for GPU-accelerated tensor computations Build custom datasets and data loaders for images and test the models using torchvision and torchtext Build an image classifier by implementing CNN architectures using PyTorch Build systems that do text classification and language modeling using RNN, LSTM, and GRU Learn advanced CNN architectures such as ResNet, Inception, Densenet, and learn how to use them for transfer learning Learn how to mix multiple models for a powerful ensemble model Generate new images using GAN’s and generate artistic images using style transfer Who this book is for This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.

Blockchain Data Analytics For Dummies

DOWNLOAD
Author : Michael G. Solomon
language : en
Publisher: John Wiley & Sons
Release Date : 2020-09-02

Blockchain Data Analytics For Dummies written by Michael G. Solomon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-02 with Computers categories.

Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!

Deep Learning With Fast Ai

Recent Posts