Data Processing for Neural Network Training with Keras with TensorFlow

Data Processing for Neural Network Training with Keras with TensorFlow

deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video. Details
TensorFlow and Keras GPU Support – CUDA GPU Setup

TensorFlow and Keras GPU Support – CUDA GPU Setup

In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU. Details
Nifty Online Tool Animates Your Actions in Real-Time

AI Powered Online Tool Animates Your Actions in Real-Time

As a content creator, I appreciate tools that quickly and easily make me able to generate content. Throw AI and computer vision into the mix,... Details
Meet Morpheus, the AI that'll show you how deep the universe's rabbit hole goes: Code can detect, classify galaxies from 'scope scans

Morpheus, the AI That Shows You How Deep the Universe’s Rabbit Hole Goes

Astrophysicists have developed an AI to help scientists automatically detect and describe galaxies observed by telescopes surveying the distant sky. The program, known as Morpheus,... Details
A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0

A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0

From navigating to a new place to picking out new music, AI backed algorithms have laid the foundation for much of modern life. In this... Details
Keras Installation and TensorFlow Integration

Keras Installation and TensorFlow Integration

In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine! Details
A Beginner’s Guide To TPUs

A Beginner’s Guide To TPUs

Google introduced Tensor Processing Units or TPUs in four years ago. TPUs, unlike GPUs, were custom-designed to deal with operations such as matrix multiplications in... Details
Generative Adversarial Networks in Python

Generative Adversarial Networks in Python

GANs (Generative Adversarial Networks) are a set of deep neural network models used to produce synthetic data. The method was developed by Ian Goodfellow in... Details
Keras Prerequisites – Getting Started with Neural Networks

Keras Prerequisites – Getting Started with Neural Networks

deeplizard has put together a course on how to use Keras. In this course, we will learn how to use Keras, a neural network API... Details
TensorFlow 2.0 Tutorial – Part 2: Image Classification

TensorFlow 2.0 Tutorial – Part 2: Image Classification

edureka! recently live streamed this tutorial on image classification in TensorFlow 2.0 Details