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Artificial Neural Network C++ Class
by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
The Math behind Neural Networks: Part 1 - The Rosenblatt Perceptron
by Serge Desmedt
A try it yourself guide to the basic math behind perceptrons
ReInventing Neural Networks - Part 2
by Byte-Master-101
In Part 2, the Neural Network made in Part 1 is tested in an environment made in Unity so that we can see how well it performs.
ANNT: Feed Forward Fully Connected Neural Networks
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.

Latest Articles

Artificial Neural Network C++ Class
by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
Logo Recognition System
by Ammar Albush 1997
Logo Recognition System Program written in C# .NET 6.0 Windows Form (Tensorflow.net,Tensorflow.keras,Emgu Cv,ScottPlot.WinForms,Newtonsoft.Json)
Back-propagation Neural Net
by Tejpal Singh Chhabra
A C++ class implementing a back-propagation algorithm neural net, that supports any number of layers/neurons
Solving XOR Problem using Dynamic Weights
by Denis Pashkov
Solve XOR problem using dynamic weights

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Neural Networks 

Preparing Data for AI Fashion Classification
16 Mar 2021 by Abdulkader Helwan
In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.
Python
artificial-intelligence
tensorflow
Keras
neural-network
Fine-tuning VGG16 to Classify Clothing
17 Mar 2021 by Abdulkader Helwan
In this article we show you how to train VGG19 to recognize what people are wearing.
Python
artificial-intelligence
tensorflow
Keras
neural-network
Running AI Fashion Classification on Real Data
18 Mar 2021 by Abdulkader Helwan
In this article we evaluate VGG19 using real images taken by a phone camera.
Python
artificial-intelligence
tensorflow
Keras
neural-network
Generate New Fashion Designs with a Generative Adversarial Network (GAN)
19 Mar 2021 by Abdulkader Helwan
In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
Python
artificial-intelligence
tensorflow
Keras
neural-network
Training and Running a GAN for Fashion Design Generation
22 Mar 2021 by Abdulkader Helwan
In this article we show you how to train the GAN for fashion design generation.
Python
artificial-intelligence
tensorflow
Keras
neural-network
Using CycleGAN for Mobile Style Transfer
15 Jun 2021 by Abdulkader Helwan
In this article, we discuss the CycleGAN architecture.
tensorflow
deep-learning
Keras
neural-network
Building a Mobile Style Transfer CycleGAN with Keras
16 Jun 2021 by Abdulkader Helwan
In this article, we implement a CycleGAN from scratch.
Python
tensorflow
deep-learning
Keras
neural-network
Training a Running a Deep CycleGAN for Mobile Style Transfer
17 Jun 2021 by Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.
Python
tensorflow
deep-learning
Keras
neural-network
Building a Style Transfer CycleGAN from Scratch
18 Jun 2021 by Abdulkader Helwan
In this article, we implement a CycleGAN with a residual-based generator.
Python
deep-learning
Keras
Jupyter
neural-network
Learning Machine Learning, Part 2: Algorithms and Techniques
13 Feb 2017 by Alibaba Cloud
In this post, we learn about algorithms that help implement ML functions.
neural-network
machine-learning
algorithm
Logo Recognition System
28 Mar 2023 by Ammar Albush 1997
Logo Recognition System Program written in C# .NET 6.0 Windows Form (Tensorflow.net,Tensorflow.keras,Emgu Cv,ScottPlot.WinForms,Newtonsoft.Json)
C#
artificial-intelligence
tensorflow
neural-network
ANNT: Feed Forward Fully Connected Neural Networks
28 Sep 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
C++
artificial-intelligence
machine-learning
ANN
neural-network
ANNT: Recurrent Neural Networks
20 Dec 2018 by Andrew Kirillov
Use of ANNT library to create recurrent ANNs and apply them to different tasks
C++
neural-network
Using Modified Inception V3 CNN for Video Processing and Video Classification
4 Apr 2019 by Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
artificial-intelligence
neural-network
machine-learning
image
Applying Long Short-Term Memory for Video Classification Issues
30 Apr 2019 by Apriorit Inc, Semyon Boyko
The approach that allows you to make a neural network analyze the current frame while remembering the state of previous frames
artificial-intelligence
OpenCV
neural-network
image-processing
image-recognition
Action Detection Using Deep Neural Networks: Problems and Solutions
22 Mar 2019 by Apriorit Inc, Vadym Zhernovyi
Learn more about the challenges we faced with dataset preparation and network configuration, and how these problems can be solved.
artificial-intelligence
neural-network
image-processing
detection
image-recognition
Deep Learning in C#: Understanding Neural Network Architecture
4 Nov 2020 by Arnaldo P. Castaño
In this article we will go over the basics of supervised machine learning and what the training and verification phases consist of.
artificial-intelligence
machine-learning
deep-learning
neural-network
Deep Learning in C#: Coin Recognition in Keras.NET, Part I
6 Nov 2020 by Arnaldo P. Castaño
In this article, we will examine a convolutional neural network for the problem of coin recognition, and we will implement one in Keras.NET.
C#
artificial-intelligence
deep-learning
Keras
neural-network
Deep Learning in C#: Coin Recognition in Keras.NET, Part II
6 Nov 2020 by Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
Python
C#
artificial-intelligence
deep-learning
Keras
neural-network
Deep Learning in C#: Coin Recognition with a Pre-Trained Model in ML.NET
9 Nov 2020 by Arnaldo P. Castaño
To end off this series, we will present the alternative of adapting a pre-trained CNN to the coin recognition problem we have been examining all along.
artificial-intelligence
machine-learning
Keras
neural-network
Input Normalization as Separate Layer in CNTK with C#
13 Jul 2018 by Bahrudin Hrnjica
How to implement data normalization as regular neural network layer, which can simply training process and data preparation
neural-network
CNTK
deep-learning
normalization
Basic Artificial Neural Network in C#
7 Aug 2017 by Bhairav Thakkar
A basic artificial neural network code for experimenting
C#
Visual-Studio
Architect
CEO
neural-network
ReInventing Neural Networks - Part 2
19 Feb 2018 by Byte-Master-101
In Part 2, the Neural Network made in Part 1 is tested in an environment made in Unity so that we can see how well it performs.
C#
Unity
neural-network
ReInventing Neural Networks - Part 3
20 Feb 2018 by Byte-Master-101
Now that we got the basics over with, it's time for improvement!
C#
.NET
Unity
neural-network
ReInventing Neural Networks
1 Mar 2018 by Byte-Master-101
Neural Networks can do a lot of amazing things, and you can understand how you can make one from the ground up. You can actually be surprised how easy it is to develop one from scratch!
C#
Unity
neural-network
A Note on Neural Networks
10 Oct 2018 by Dr. Song Li
This is a library to implement Neural Networks in JavaScript.
Javascript
Dev
neural-network
JSON
Basis of Neural Networks in Visual Basic .NET
8 Sep 2015 by Emiliano Musso
Basics of implementing a neural network in VB.NET
VB
.NET
artificial-intelligence
Dev
neural-network
Build Simple AI .NET Library - Part 3 - Perceptron
16 Sep 2017 by Gamil Yassin
Perceptron, when to use it and sample code
VB
.NET
artificial-intelligence
neural-network
network
Build Simple AI .NET Library - Part 4 - Beyond Perceptron
17 Sep 2017 by Gamil Yassin
Part 4 of a series of articles demonstrating .NET AI library from scratch
VB
.NET
artificial-intelligence
neural-network
ANN
network
Build Simple AI .NET Library - Part 5 - Artificial Neural Networks
18 Sep 2017 by Gamil Yassin
A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display
15 Sep 2020 by Gary.Miller.WPF
Data Mining: An Introduction to Neural Networks in SQL Server
7 Jan 2022 by Harinder Saluja
Artificial Neural Network C++ Class
13 Nov 2023 by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
C++
artificial-intelligence
neural-network
AI
Digits
recognition
AI: Genetic Evolution of Virtual Fish
28 Jan 2016 by hemanthk119
Genetic Mutations of Neural Networks to produce better offspring in fish like virtual creatures
C#
.NET
VS2013
WPF
genetic
neural-network
Image Classification Using Neural Networks in .NET
26 Jun 2019 by hemanthk119
Image Classification implementation using Deep Belief Networks and Convolutional Neural Networks in .NET
C#
.NET
WPF
Dev
neural-network
OpenCV
Image Tagger - A Convolutional Neural Network Based Image Classifier
11 May 2020 by Huseyin Atasoy
An image classifier / tagger based on convolutional neural networks. Now more than 10 times faster with the Intel MKL support.
C#
.NET
artificial-intelligence
neural-network
image-processing
MatLab
Reducing Packing Overhead in Matrix-Matrix Multiplication
7 Feb 2017 by Intel
Improve Performance on Multicore and Many-Core Intel® Architectures, Particularly for Deep Neural Networks
hardware
neural-network
product-showcase
architecture
Setting up macOS for ML and AI Development
26 Aug 2020 by Jarek Szczegielniak
In this article we prepare our development environment.
Python
iOS
artificial-intelligence
machine-learning
neural-network
Converting ONNX Image Classification Models to Core ML
27 Aug 2020 by Jarek Szczegielniak
In this article we'll convert a ResNet model to the Core ML format.
Python
iOS
machine-learning
neural-network
AI Image Classification on iOS with ResNet
28 Aug 2020 by Jarek Szczegielniak
Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.
Python
iOS
artificial-intelligence
machine-learning
neural-network
Preparing Data for AI Image Classification on iOS
31 Aug 2020 by Jarek Szczegielniak
In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.
Python
iOS
artificial-intelligence
machine-learning
neural-network
Building an AI Image Classification Model for iOS Using Create ML and Core ML
1 Sep 2020 by Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
Python
iOS
artificial-intelligence
machine-learning
neural-network
Converting an ONNX Object Detection Model to iOS Core ML
21 Nov 2020 by Jarek Szczegielniak
In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.
Python
artificial-intelligence
YAML
neural-network
Decoding a Core ML YOLO Object Detector
23 Nov 2020 by Jarek Szczegielniak
In this article, we will decode the Core ML YOLO Model by transforming an array of abstract numbers to a human-readable form.
Python
artificial-intelligence
neural-network
Decoding a YOLO Core ML Object Detector Using Array Operations
24 Nov 2020 by Jarek Szczegielniak
In the next article, we’ll do the same but with array operations. This will allow us to include the decoding logic directly in the model.
Python
artificial-intelligence
neural-network
Creating a YOLO Core ML Object Detector with Decoding Logic
25 Nov 2020 by Jarek Szczegielniak
In this article we are ready to include detection decoding directly in the Core ML model.
Python
artificial-intelligence
neural-network
Building a Core ML Pipeline for the iOS Vision Framework
26 Nov 2020 by Jarek Szczegielniak
In this article we’ll create a Core ML pipeline to be our end-to-end model.
Python
artificial-intelligence
neural-network
iOS Object Detection with Live Camera Preview
27 Nov 2020 by Jarek Szczegielniak
In the next article, we’ll start working on the iOS application that will use that model.
Python
artificial-intelligence
neural-network
Building an Object Detection iOS App with YOLO Core ML Model
30 Nov 2020 by Jarek Szczegielniak
In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.
Python
artificial-intelligence
neural-network
Setting Up an Android AI Development Environment
16 Sep 2020 by Joel Ivory Johnson
This is the first in a series of articles on using TensorFlow Lite on Android to bring the power of machine learning and deep neural networks to mobile application
Python
Android
artificial-intelligence
tensorflow
neural-network
Using an ONNX Neural Network Model with TensorFlow Lite on Android
17 Sep 2020 by Joel Ivory Johnson
In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.
Python
artificial-intelligence
tensorflow
neural-network
Creating an Android AI App With Tensorflow Lite
18 Sep 2020 by Joel Ivory Johnson
In this article we will create an Android application and import our TensorFlow Lite model into it.
HTML
Java
Android
artificial-intelligence
tensorflow
neural-network
Visualizing TensorFlow Lite AI Results on Android
21 Sep 2020 by Joel Ivory Johnson
In the previous installation of this series, a TensorFlow Lite interpreter had examined an image and produced its output. In this article we learn how to interpret these results and create visualizations for them.
Python
Android
artificial-intelligence
tensorflow
neural-network
Android Tensorflow Lite Best Practices and Optimizations
22 Sep 2020 by Joel Ivory Johnson
In this article we will consider the ways in which the network could be further optimized.
Python
artificial-intelligence
tensorflow
neural-network
Training Your Own TensorFlow Neural Network For Android
23 Sep 2020 by Joel Ivory Johnson
In this article we will generate output from a program will provide a TensorFlow freeze graph ready to be used or converted to TensorFlow Lite.
Python
Android
artificial-intelligence
tensorflow
neural-network
Using Portable ONNX AI Models in Java
11 Sep 2020 by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
Java
artificial-intelligence
neural-network
Using Portable ONNX AI Models in Python
14 Sep 2020 by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
Python
artificial-intelligence
neural-network
Handwritten Digits Reader UI
8 Jan 2019 by KristianEkman
A C# object oriented Neural Network, trainer, and Windows Forms user interface for recognitions of hand-written digits.
XML
C#
.NET
VS2017
neural-network
ANN
text
A Simple and Complete Explanation of Neural Networks
3 Apr 2019 by Mahsa Hassankashi
This article also has a practical example for the neural network. You read here what exactly happens in the human brain, while you review the artificial neuron network.
network
mathematics
neural-network
Matrix
MatLab
AI Queue Length Detection: Object detection using Keras
26 Oct 2020 by MehreenTahir
This is the first in an article series where we’re going to show how to make an AI queue length detector.
Python
artificial-intelligence
Keras
neural-network
AI Queue Length Detection: R-CNN for Custom Object Detection Using Keras
27 Oct 2020 by MehreenTahir
In this article, we’ll explore some other algorithms used for object detection and will learn to implement them for custom object detection.
Python
artificial-intelligence
neural-network
AI Queue Length Detection: Counting the Number of People in an Area
28 Oct 2020 by MehreenTahir
In this article, we will train a deep learning model to detect and count the number of people in a given area.
Python
artificial-intelligence
neural-network
From Stationarity to Randomness through Chaos
22 Nov 2016 by Miguel Diaz Kusztrich
Using R to explore complexity of time series generated by simple process
R
mathematics
neural-network
statistics
signal-processing
data
Number Recognition with MLP Neural Network
24 May 2017 by mohammad farahi
English Number recognition with Multi Layer Perceptron Neural Network (MLP)
artificial-intelligence
network
neural-network
MatLab
Implementation of Convolutional Neural Network using Python and Keras
5 Mar 2018 by Nikola M. Živković
Implementation of Convolutional Neural Network using Python and Keras
Python
parallel-processing
neural-network
Creating a Turing Machine in Python – Part 2
22 Nov 2018 by Philipp_Engelmann
How to create a Turing machine in Python - Part 2
Python
artificial-intelligence
machine-learning
neural-network
Creating a Turing Machine in Python – Part 1
3 Nov 2018 by Philipp_Engelmann
In this series, I want to show you how to create a simple console-based Turing machine in Python. You can check out the full source code on https://github.com/phillikus/turing_machine. In this part, I will explain the fundamental theory behind Turing machines and set up the project based on that.
artificial-intelligence
machine-learning
neural-network
Competing on kaggle.com for the First Time
25 Jan 2019 by Philipp_Engelmann
Competing on kaggle.com for the first time
Python
machine-learning
Keras
neural-network
Cartpole: The “Hello World” of Reinforcement Learning
25 Jun 2020 by philoxenic
In this article, you will be up and running, and will have done your first piece of reinforcement learning.
Python
artificial-intelligence
machine-learning
neural-network
Cartpole: Tweaking the Options
26 Jun 2020 by philoxenic
In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.
Python
artificial-intelligence
machine-learning
neural-network
Introduction to OpenAI Gym: Atari Breakout
29 Jun 2020 by philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
Python
artificial-intelligence
machine-learning
neural-network
Learning Breakout More Quickly
30 Jun 2020 by philoxenic
In this article, we will see how you can use a different learning algorithm (plus more cores and a GPU) to train much faster on the mountain car environment.
Python
artificial-intelligence
machine-learning
neural-network
Learning Breakout From RAM – Part 1
2 Jul 2020 by philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
Python
artificial-intelligence
machine-learning
neural-network
Learning Breakout From RAM – Part 2
3 Jul 2020 by philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
Python
artificial-intelligence
machine-learning
neural-network
Learning Breakout: Advanced Topics
6 Jul 2020 by philoxenic
In this final article in this series, we will look at slightly more advanced topics: minimizing the "jitter" of our Breakout-playing agent, as well as performing grid searches for hyperparameters.
Python
artificial-intelligence
machine-learning
neural-network
The Histogram Neuron - A Solution for "Kitten Stew" in Image Classification with CNNs
27 Dec 2017 by R. Stacy Smyth
Approach I used to get the CNN to behave in a more intuitively sensible way
Dev
Architect
deep-learning
image-classification
neural-network
Getting Started With Deep Learning in Your Browser Using TensorFlow.js
8 Jul 2020 by Raphael Mun
In this article, I will show you how quickly and easily set up and use TensorFlow.js to train a neural network to make predictions from data points.
Javascript
artificial-intelligence
machine-learning
tensorflow
neural-network
AI Chatbots With TensorFlow.js: Improved Trivia Expert
20 Oct 2020 by Raphael Mun
In this article we will create a knowledge chatbot.
Javascript
artificial-intelligence
tensorflow
deep-learning
neural-network
Cat or Not - An Image Classifier using Python and Keras
30 Apr 2019 by Ryan Peden
A code-first introduction to neural networks
Python
artificial-intelligence
neural-network
nvidia
tensorflow
Keras
OpenCV
The Math behind Neural Networks: Part 2 - The ADALINE Perceptron
20 Aug 2020 by Serge Desmedt
A try it yourself guide to the basic math behind ADALINE perceptron
Javascript
Knockout.js
artificial-intelligence
ANN
neural-network
The Math behind Neural Networks: Part 1 - The Rosenblatt Perceptron
12 May 2019 by Serge Desmedt
A try it yourself guide to the basic math behind perceptrons
Javascript
Knockout.js
neural-network
Age Estimation With Deep Learning: Designing CNN
21 Jul 2020 by Sergey L. Gladkiy
In this article we’ll guide you through one of the most difficult steps in the DL pipeline: the CNN design.
artificial-intelligence
deep-learning
Keras
neural-network
Age Estimation With Deep Learning: Building CNN
22 Jul 2020 by Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
Python
artificial-intelligence
deep-learning
Keras
CNN
neural-network
Age Estimation With Deep Learning: Training CNN
23 Jul 2020 by Sergey L. Gladkiy
In this article we train the CNN for age estimation.
Python
artificial-intelligence
neural-network
deep-learning
OpenCV
Age Estimation With Deep Learning: Using CNN to Predict Age
24 Jul 2020 by Sergey L. Gladkiy
In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.
Python
artificial-intelligence
neural-network
deep-learning
OpenCV
Real-time AI Person Detection on Edge Devices: Getting Started
5 Oct 2020 by Sergey L. Gladkiy
This is the first in an article series where we’ll show you how to detect people in real time (or near-real time) on Raspberry Pi.
artificial-intelligence
Raspberry-Pi
neural-network
Real-time AI Person Detection on Edge Devices: Detecting Persons Using Pre-trained SSD Models
7 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll showcase the Python code for launching these models and detect humans in images.
Python
artificial-intelligence
neural-network
Real-time AI Person Detection on Edge Devices: Launching SSD on Raspberry Pi
8 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll see how you can install Python-OpenCV on the device and run the code.
Python
artificial-intelligence
Raspberry-Pi
neural-network
Real-time AI Person Detection on Edge Devices: Testing SSD Models on Raspberry Pi
9 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll test the accuracy and the performance of the MibileNet and SqueezeNet models on the Raspberry Pi device.
Python
artificial-intelligence
Raspberry-Pi
neural-network
Real-time AI Person Detection on Edge Devices: Detecting Persons on Video in Real-time Mode
14 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll modify the code for real-time processing on an edge device.
Python
artificial-intelligence
Raspberry-Pi
neural-network
Real-time AI Pest Elimination on Edge Devices: Getting Started
3 Mar 2021 by Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Detecting Pests Using Pre-Trained SSD Models
16 Dec 2020 by Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Detecting Unusual Pests
17 Dec 2020 by Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Preparing Dataset
18 Dec 2020 by Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Extending Dataset with Data Augmentation
21 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Training a DNN
22 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Detecting Pests with a Motion Detector and Trained DNN
23 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Eliminating Pests with a Raspberry Pi
24 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll test our detection algorithm on a Raspberry Pi 3 device and create the "scare pests away" part of our pest eliminator by playing a loud sound.
Python
artificial-intelligence
Raspberry-Pi
deep-learning
neural-network
Hybrid Edge AI for Facial Recognition: Next Steps
4 Aug 2021 by Sergey L. Gladkiy
In this article, we’ll discuss some aspects of developing a facial recognition system from scratch.
artificial-intelligence
face-detection
Kubernetes
neural-network
Preprocessing Time Series Data for AI Forecasting and Anomaly Detection
25 Feb 2021 by Sergio Virahonda
In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.
Python
artificial-intelligence
tensorflow
Keras
neural-network


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