Deep Learning

Deep Learning | News, how-tos, features, reviews, and videos

7 artificial intelligence
maze lost question direction wayward

ai artificial intelligence circuit board circuitry mother board nodes computer chips

IBM Trusted AI toolkits for Python combat AI bias

IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models

neural network

Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

Illustration of head made out of gears with 2 hands holding it with cloud background

Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models

binary code streaming from a monitor display

5 machine learning tools to ease software development

AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation

A human profile containing digital wireframe of technology connections.

The best machine learning and deep learning libraries

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models

abstract binary vortex matrix motion digtial transformation disruption  by simon carter peter crowt

TensorFlow 2 review: Easier machine learning

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment

blank tag isolated on white 95754104

Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

Go opening by  2400x1600

Reinforcement learning explained

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently

Dial allowing selection by flags of the world.

Natural language processing explained

Deep learning has improved machine translation and other NLP tasks by leaps and bounds

abstract data

Deep learning explained

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data

machine learning

Machine learning explained

Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming

Exploding binary numbers

Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

Exclamation point on screen warning alert caution stop

How to model time-series anomaly detection for IoT

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming

gears iot

Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

head / face / radiating lines / radial waves / artificial intelligence / projection / connection

AI, machine learning, and deep learning: Everything you need to know

All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes

ai artificial intelligence circuit board circuitry mother board nodes computer chips

How to use deep learning to write Shakespeare

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard

boxing gloves fight battle knockout

Review: Azure Machine Learning challenges Amazon SageMaker

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle

businessman paddles through deep waters on a key

What is Keras? The deep neural network API explained

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be

Load More