Learn TensorFlow and Deep Learning fundamentals with Python

Learn TensorFlow and Deep Learning fundamentals with Python

Daniel Bourke hosts this 10 hour course on the fundamentals of deep learning with TensorFlow in Python. Details
Sliding Window Object Detection with Tensorflow, Keras & Python

Sliding Window Object Detection with Tensorflow, Keras & Python

codebasics delivers this great tutorial on sliding window object detection is a technique that allows you to detect objects in a picture. This technique is... Details
Three Tips To Maximize Your Investment In Customer Service AI

Three Tips To Maximize Your Investment In Customer Service AI

AI has come to revolutionize customer service and its siren call of providing customer service at a reduced price is too hard to ignore for... Details
DeepMind Augments, Salutes the JAX Library Ecosystem

DeepMind Augments, Salutes the JAX Library Ecosystem

Google’s UK-based lab and research company DeepMind has added Jraph to the growing number of open-sourced libraries around JAX, while surveying the machine learning framework’s... Details
Uber Engineering Releases Horovod v0.21: New Features Include Local Gradient Aggregation For TensorFlow v1 and v2

Uber Engineering Releases Horovod v0.21

Given its ability to speed up neural network training, I'm surprised we don't hear more about Horovod. Horovod was open-sourced in 2017, and it has... Details
A basic design pattern for image recognition

A Basic Design Pattern for Image Recognition

Design patterns have been in use in the software engineering world for quite some time. A design pattern implies that there is a "best practice"... Details
The rising popularity of voice assistants for the home and beyond

Rising Popularity of Voice Assistants for the Home and Beyond

Voice assistants were first integrated into smartphones several years ago, and consumers have become increasingly reliant on voice technology to simplify and automate the tasks... Details
Nvidia Researchers Introduces A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable Rendering

Nvidia Researchers Introduce A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable Rendering

Rendering is a complex process. Its differentiation cannot be uniquely defined; thus, a straightforward integration into neural networks is impossible. Differentiable rendering (DR) constitutes a... Details
Machine Learning and Scientific Computing with Python

Machine Learning and Scientific Computing with Python

In this episode, Seth and Tania will talk about the Python community and the scientific Python ecosystem. So if you always wanted to know what... Details
A Quantum Leap Forward: MVPs Educate On Bleeding-Edge Tech

A Quantum Leap Forward: MVPs Educate On Bleeding-Edge Tech

If you've been paying to attention to my writing over the past 10 months or so, you know that I have seen the light on... Details