PluralSight – Who Will Build the Next Million Products Front 2019

PluralSight – Who Will Build the Next Million Products Front 2019-JGTiSO
English | Size: 592.97 MB
Category: Tutorial

Front UX & Product Management Case Study Conference | Who Will Build the Next Million Products | Vlad Magdalin
Since the inception of the internet, the practice of bringing new products to market has involved an intricate dance between product managers, designers, and software engineers – so much so that thousands of companies and services have sprung up from making the interface between design and development more efficient. But what if we pause, take a step back, and ask ourselves: could there be a radically new way that we can approach creating products that will make it easier for 100X as many people to bring their product ideas to life? Vlad Magdalin’s conference session will explore the rich history of other creative industries (like 3D animation and digital publishing) to gain inspiration for how we can completely rethink and transform today’s product design and development practices.

BBC – The Greatest Tomb on Earth Secrets of Ancient China (2016)

BBC – The Greatest Tomb on Earth: Secrets of Ancient China (2016)
English | Size: 1.16 GB
Category: Documentary

From the depths of the greatest tomb on earth comes an epic new story that could rewrite history, revealing for the first time the true origin of one of the world’s most powerful nations: China.

Packt – Hands-On Android Application Components: Activities

Packt – Hands-On Android Application Components: Activities
English | Size: 623.26 MB
Category: Tutorial

Learn
Set up an Android project in Android Studio
Create activities for your Android applications in Android Studio using its built-in editing tools
Create a UI for your application using built-in layouts and the ‘controls’ option in Android Studio
Handle the activity lifecycle of your application

Packt – Keras Tips, Tricks, and Techniques

Packt – Keras Tips, Tricks, and Techniques
English | Size: 3.01 GB
Category: Programming

Learn
Run deep learning models with Keras and a TensorFlow backend
Use image augmentation to improve training accuracy for your Keras models
Learn how to generate articles with Recurrent Neural Networks in Keras
Use Keras for Natural Language Processing
Deploy Keras models into production
Use the Keras Functional API for deep learning