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Marlin Studios Premium 3D Models – City Buildings

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Marlin Studios Premium 3D Models – City Buildings
English | Size: 115 MB
Category: Tutorial


181 high-quality 3D models in 3DS, LWO6 and OBJ formats
 Right Hemisphere’s 3D Exploration included for additional conversions
 Cost of each models is a little over $1.00
 Convenient HTML browser enables fast viewing and selection of all models
 Models range in poly count (number of faces) from 17,000 to 170,000 polygons
 File sizes range from 250KB to 11,000 KB
 Most models average in the 70,000 polygon range with file size of 1500KB
 Models may be used royalty free in commercial and private projects [Read more…]

CGAxis Models Volume 26 Flowers II [All Formats]

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CGAxis Models Volume 26 Flowers II [All Formats]
English | Size: 1.7GB
Category: Tutorial


CGAxis Models Volume 26 – FLOWERS II is a collection containing 20 highly detailed 3D models of flowers. You can find in it flowers in pots and vases. Great for your interior visualization projects. Models are mapped and have materias and textures. [Read more…]

O’Reilly – Deploying Machine Learning Models as Microservices Using Docker

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O’Reilly – Deploying Machine Learning Models as Microservices Using Docker
English | Size: 825.91 MB
Category: CBTs


Modern applications running in the cloud often rely on REST-based microservices architectures by using Docker containers. Docker enables your applications to communicate between one another and to compose and scale various components. Data scientists use these techniques to efficiently scale their machine learning models to production applications. [Read more…]

O’Reilly – An Introduction to Machine Learning Models in Production

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O’Reilly – An Introduction to Machine Learning Models in Production
English | Size: 1.38 GB
Category: CBTs


This course lays out the common architecture, infrastructure, and theoretical considerations for managing an enterprise machine learning (ML) model pipeline. Because automation is the key to effective operations, you’ll learn about open source tools like Spark, Hive, ModelDB, and Docker and how they’re used to bridge the gap between individual models and a reproducible pipeline.
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Pluralsight – Building Unsupervised Learning Models with TensorFlow

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Pluralsight – Building Unsupervised Learning Models with TensorFlow
English | Size: 340.58 MB
Category: Tutorial;


Unsupervised learning techniques are powerful, but under utilized and often not well understood. In this course, Building Unsupervised Learning Models with TensorFlow, you’ll learn the various characteristics and features of clustering models such as K-means clustering and hierarchical clustering. First, you’ll dive into building a k-means clustering model in TensorFlow. Next, you’ll discover autoencoders in detail, which are a type of artificial neural network used for unsupervised learning. Finally, you’ll explore encodings or representation of data for dimensionality reduction of problems. By the end of this course, you’ll have a better understanding of how you can work with unlabeled data using unsupervised learning techniques. [Read more…]

Pluralsight – Building Classification Models with TensorFlow

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Pluralsight – Building Classification Models with TensorFlow
English | Size: 348.01 MB
Category: Tutorial


TensorFlow is a great way to implement powerful classification models such as Convolutional Neural Networks and Recurrent Neural Networks. In this coures, Building Classification Models with TensorFlow, you’ll learn the finer points of building models with TensorFlow. First, you’ll explore the logistic regression in TensorFlow. Next, you’ll discover nearest-neighbor methods. Finally, you’ll learn the metrics for evaluating classifiers such as accuracy, precision, and recall. Recurrent Neural Networks (RNNs) are a versatile and powerful form of NN that is fast gaining popularity in applications that need to consider context. [Read more…]