O’Reilly – Introduction to Computer Vision with TensorFlow

O’Reilly – Introduction to Computer Vision with TensorFlow
English | Size: 988.56 MB
Category: CBTS


This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network.

Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. [Read more…]

O’Reilly – Learning Path Kafka

O’Reilly – Learning Path Kafka
English | Size: 1.52 GB
Category: CBTs


Currently one of the hottest projects across the Hadoop ecosystem, Apache Kafka is a distributed, real-time data system that functions in a manner similar to a pub/sub messaging service, but with better throughput, built-in partitioning, replication, and fault tolerance. In this video course, host Gwen Shapira shows developers and administrators the basics for setting up a Kafka cluster and writing producers and consumers in Kafka. [Read more…]

O’Reilly – Learning Path Become Fluent in Python

O’Reilly – Learning Path Become Fluent in Python
English | Size: 4.92 GB
Category: CBTs


Don’t be limited by the Python you already know. You’re ready to move beyond the skills you use everyday to more ambitious programming-and you’re in the right place. Part of Python’s appeal is how easily it can be used for a wide range of purposes. Get ready to learn some of the amazing features that are unique to Python and see how powerful it can be.
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O’Reilly – Introduction to Deep Learning Models With TensorFlow

O’Reilly – Introduction to Deep Learning Models With TensorFlow
English | Size: 162.29 MB
Category: Tutorial


Learn How to Work With TensorFlow to Create and Run a TensorFlow Graph, and Build a Deep Learning Model.
TensorFlow is by far the most popular deep learning software package available today. This training covers all of the essentials of TensorFlow; and provides you with hands-on experience building a deep learning model using the TensorFlow library. Every line of code written during the course is analyzed to help you understand what can be a complicated process. [Read more…]

O’Reilly – Designing Cloud Native Architecture for Continuous Delivery

O’Reilly – Designing Cloud Native Architecture for Continuous Delivery
English | Size: 750.21 MB
Category: CBTs


In this video course, software architecture veteran Matt Stine explains the goal of continuous delivery, describes its ingredients, and shows how to bake them into a deployment pipeline for cloud native architecture. He focuses on the two architectural qualities that enable an effective deployment pipeline: deployability and testability.

o Discover the best practices for baking continuous delivery into a deployment pipeline
o Learn to create effective deployment pipelines that are both deployable and testable [Read more…]

O’Reilly – Continuous Integration (CI) With Jenkins – Configuration

O’Reilly – Continuous Integration (CI) With Jenkins – Configuration
English | Size: 136.81 MB
Category: CBTs


Understanding how to properly configure a Jenkins automation server is essential to creating a Jenkins based Continuous Integration pipeline. This screencast demonstrates the basic set of procedures you must know to configure a Jenkins automation server and integrate it with third party tools.

As the course moves along, you’ll come to understand that Jenkins offers an almost unlimited supply of configuration possibilities. This course does more than teach a basic setup; it teaches you the Jenkins configuration paradigm, giving you the confidence you will need to handle virtually any configuration option you may face going forward.
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O’Reilly – Learning Chef for Linux and macOS

O’Reilly – Learning Chef for Linux and macOS
English | Size: 2.99 GB
Category: CBTs


Chef is a popular configuration management tool used to quickly automate an entire fleet of machines. Chef allows you to define repeatable administration patterns in code tailored to your organization’s specific needs. While typically deployed in conjunction with a Chef Server, Chef expert Mischa Taylor shows the numerous applications for Chef that do not require a Chef Server.
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O’Reilly – Introduction to TensorFlow-Slim

O’Reilly – Introduction to TensorFlow-Slim
English | Size: 522.33 MB
Category: CBTs


TensorFlow-Slim (TF-Slim) is a TensorFlow wrapper library that allows you to build and train complex TensorFlow models in an easy, intuitive way by eliminating the boilerplate code that plagues many deep learning algorithms. This course teaches you how to use TF-Slim and is intended for learners with some previous experience working with TensorFlow.
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O’Reilly – Installation, Storage, and Compute with Windows Server 2016 – Exam 70-740 Certification Training

O’Reilly – Installation, Storage, and Compute with Windows Server 2016 – Exam 70-740 Certification Training
English | Size: 2.65 GB
Category: CBTs


Ready to earn your MCSA certification for Windows Server 2016? This is part one of a three part series, and in this video you’ll learn how to pass Microsoft exam 70-740, the first of three exams you must pass to earn the MCSA Windows Server 2016 certification. This course covers information regarding the installation, storage, and compute features and functionality available in Windows Server 2016 – all of the material covered in the 70-740 exam.
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O’Reilly – Get Started with Amazon Data Storage, Using S3 and Glacier

O’Reilly – Get Started with Amazon Data Storage, Using S3 and Glacier
English | Size: 388.79 MB
Category: CBTs


Understanding how to use Amazon Web Services (AWS) has become a must-have skill for virtually anyone working in Big Data. In this course, certified AWS expert Ben Butler shows you how to use AWS while also teaching you core Big Data concepts like life cycles, time requirements, characteristics, dimensions, and design patterns for Big Data workflows. [Read more…]