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Face Recognition
Keras
Siamese Networks
TensorFlow
Triplet Loss

Training and Making Predictions with Siamese Networks and Triplet Loss

March 20, 2023

Table of Contents Training and Making Predictions with Siamese Networks and Triplet Loss Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Training Our Siamese Network Model with Triplet Loss Making Predictions with Our Siamese Network Based…

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Face Recognition
Keras
Siamese Networks
TensorFlow
Triplet Loss

Triplet Loss with Keras and TensorFlow

March 6, 2023

Table of Contents Triplet Loss with Keras and TensorFlow Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Implementing Siamese Model and Triplet Loss Summary Credits Citation Information Triplet Loss with Keras and TensorFlow In today’s tutorial,…

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Computer Vision
Embedded
Image Classification
OAK
TensorFlow
Tutorials

Training a Custom Image Classification Network for OAK-D

February 6, 2023

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure The Vegetable Image Dataset Data Analysis Configuring the Prerequisites Defining the Utilities The Image Classification Network Training…

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Computer Vision
CycleGAN
Deep Learning
Keras
Keras and TensorFlow
TensorFlow
Unpaired Image Translation

CycleGAN: Unpaired Image-to-Image Translation (Part 1)

September 12, 2022

Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 1) Introduction Unpaired Image Translation CycleGAN Pipeline and Training Loss Formulation Adversarial Loss Cycle Consistency Summary Citation Information CycleGAN: Unpaired Image-to-Image Translation (Part 1) In this tutorial, you will learn about image-to-image…

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Deep Learning
Tutorial

Neural Machine Translation with Luong’s Attention Using TensorFlow and Keras

August 29, 2022

Table of Contents Neural Machine Translation with Luong’s Attention Using TensorFlow and Keras Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Luong’s Attention Encoder Architecture Decoder Architecture Input Feeding Approach Implementing Luong’s Attention Summary Citation…

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Deep Learning
Tutorial

Neural Machine Translation with Bahdanau’s Attention Using TensorFlow and Keras

August 22, 2022

Table of Contents Neural Machine Translation with Bahdanau’s Attention Using TensorFlow and Keras Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure RNN Encoder-Decoder Learning to Align and Translate Encoder Decoder Code Walkthrough Configuring the Prerequisites…

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Deep Learning
Tutorials

Neural Machine Translation

August 15, 2022

Table of Contents Neural Machine Translation Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Probabilistic Overview of Neural Machine Translation Math Behind Neural Machine Translation What Lies Ahead? Dataset Summary Citation Information Neural Machine Translation In this…

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Deep Learning
Tutorials

Long Short-Term Memory Networks

August 1, 2022

Table of Contents Long Short-Term Memory Networks Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Modeling Sequential Data with RNNs The Problem with RNNs Long Short-Term Memory Networks Vanishing and Exploding Gradients Training and Visualizations…

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GANs
Image Translation
TensorFlow
Tutorials

Image Translation with Pix2Pix

July 27, 2022

Table of Contents Image Translation with Pix2Pix Introduction Pix2Pix GAN Deconstructed Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Configuring the Prerequisites Creating the Data Processing Pipeline Creating the Pix2Pix Architecture Building the Pix2Pix GAN Training…

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You can learn Computer Vision, Deep Learning, and OpenCV.

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