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Deep Learning
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Vertex AI

Introduction to Gemini Pro Vision

January 1, 2024

Table of Contents Introduction to Gemini Pro Vision Google AI Studio Creating a Prompt Using Google AI Studio Gemini Pro Vision API Summary Citation Information Introduction to Gemini Pro Vision In this tutorial, you will learn how to get started…

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Deep Learning
Gemini
GenAI
Generative AI
Google Cloud
PaLM
Transformers
Tutorial
Vertex AI

T’is the Time … for GenAI!

December 25, 2023

Table of Contents T’is the Time … for GenAI! Google and Generative AI What’s the Buzz? What Is Generative AI? Getting Started with Vertex AI-Generative AI Studio’s User Interface Vertex AI-Generative AI Studio on Google Cloud Language Get Started Create…

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Computer Vision
Deep Learning
Machine Learning
Neural Networks
Object Detection
Tutorials

Faster R-CNNs

November 13, 2023

Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? Why Do We Use Intersection over Union (IoU)? Mean Average Precision (mAP) The (Faster) R-CNN Architecture A Brief History…

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Autoencoders
Semantic Segmentation
Tutorials

Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series

November 6, 2023

Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data…

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Autoencoders
Generative Models
Tutorials

Generating Faces Using Variational Autoencoders with PyTorch

October 23, 2023

Table of Contents Generating Faces Using Variational Autoencoders with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Data Utilities Defining…

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Autoencoders
Generative Models
Tutorial

A Deep Dive into Variational Autoencoders with PyTorch

October 2, 2023

Table of Contents A Deep Dive into Variational Autoencoder with PyTorch Introduction Comparison with Convolutional Autoencoder Architecture Latent Space Loss Function Why Does VAE Stand Out? Why Does the Encoder of a VAE Follow a Gaussian Distribution? Objective Functions of…

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Computer Vision
Embedded
OAK
Object Detection
OpenVINO
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YOLO

People Counter on OAK

August 21, 2023

Table of Contents People Counter on OAK Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure What Is a Script Node in DepthAI? Configuring the Prerequisites Defining the Utilities Setting Up Imports Video Detection Pipeline Tracker…

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Cross-Framework Functionality
Deep Learning Frameworks
Keras Core
Machine Learning

What Is Keras Core?

July 24, 2023

Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup…

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Autoencoders
Generative Models
Tutorials

Implementing a Convolutional Autoencoder with PyTorch

July 17, 2023

Table of Contents Implementing a Convolutional Autoencoder with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Utilities Extracting Random Images…

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

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