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[Webinar] Introduction to AutoML: A Hands-On Experience with H2O AutoML

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This episode, we are going to mention AutoML concept. Automated Machine Learning or shortly AutoML offers you to skip designing steps in machine learning including algorithm selection, designing the model and tuning hyperparameters. It can build transcendental machine learning models. The longer time you provide, the better it is. We will also have a hands-on experience with H2O AutoML.


Hands-On Neural Networks with TensorFlow 2.0 GC Coupons

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TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers. This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you'll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub.


Self-Paced Courses for Deep Learning

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The NVIDIA Deep Learning Institute offers self-paced classes for deep learning that feature interactive lectures, hands-on exercises, and live Q&A with instructors. You'll learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications with widely used open-source frameworks and NVIDIA software. During the hands-on exercises, you will use GPUs and deep learning software in the cloud. This is an introductory course, so previous experience with deep learning and GPU programming is not required. Please send your questions to DeepLearningInstitute@nvidia.com.


A hands-on intro to TensorFlow 2.0

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Sign in to report inappropriate content. In this 2 hour tutorial, we will briefly introduce TensorFlow 2.0, then dive in to training neural networks. This tutorial is targeted at folks new to TensorFlow, and/or Deep Learning, but includes things for experienced folks as well.


Hands-On Neural Networks with TensorFlow 2.0 - 1st Edition

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With Hands-On Neural Networks with TensorFlow 2.0 - 1st Edition, Understand the basics of machine learning and discover the power of neural networks and deep learning, Explore the structure of the TensorFlow framework and understand how to transition to TF 2.0, Solve any deep learning problem by developing neural network-based solutions using TF 2.0 Description TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers. Book Details Author(s): Paolo Galeone Publisher: Packt Publishing Published: September 18, 2019 Language: English ISBN-10: 1789615550 ISBN-13: 9781789615555 Number of pages: 358 Get This Book Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks 1st Edition