Eran Feit Blog posts

Mastering Edge AI: Real-Time Object Classification with Jetson Nano and OpenCV

Jetson Nano /
jetson nano image classification

Mastering Jetson Nano object classification is the key to building powerful, independent AI systems on the edge. While many developers struggle with slow frame rates and high latency, this guide focuses on utilizing the full potential of NVIDIA’s hardware. By integrating TensorRT inference with OpenCV, you will transform your Jetson Nano into a high-speed vision […]

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Getting started with Jetson Nano | How to install Jetson Nano inference tutorial to classify objects

Jetson Nano /
jetson nano setup

How to Install jetson-inference on Jetson Nano (Complete Build Tutorial) – Jetson Nano Setup Jetson Nano Setup Overview Setting up Jetson Nano correctly is the fastest way to start deploying AI models at the edge. In this guide you will install all required developer tools, clone NVIDIA’s jetson-inference repository, and compile it from source. You

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What actually sees a CNN Deep Neural Network model ?

TensorFlow tutorials /
visualize CNN

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning and CNN filter visualization. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific

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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part4)

TensorFlow tutorials /
Transfer Learning Fine-tune a Pretrained VGG16

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific aspect of the process,

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part4) Read More »

Keras Tuner Hyperparameter Optimization: A Guide to High-Accuracy CNNs

TensorFlow tutorials /
Optimize CNN for Accuracy using Keras Tuner Hyper Parameters

Building a deep learning model is only the first step; the real challenge lies in finding the exact configuration that yields the highest accuracy. Keras Tuner Hyperparameter Optimization is the professional standard for automating this process, replacing manual trial-and-error with sophisticated search algorithms like Bayesian Optimization. In this guide, you will solve the common problem

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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2)

TensorFlow tutorials /
Tensorflow CNNImage Classification Tutorial

🎥 TensorFlow Image Classification Tutorial With Keras CNN: Image Classification Tutorial Series: Five Parts 🐵 Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images. This is part of our TensorFlow image classification tutorial

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2) Read More »

ResNet50 Transfer Learning for Car Image Classification in TensorFlow and Keras.

TensorFlow tutorials /
Resnet50 Tutorial

Master Transfer Learning: ResNet50 Car Classification Tutorial with TensorFlow Are you struggling to train an accurate image classifier on a limited dataset? In this complete resnet50 car classification tutorial with tensorflow, you will solve this problem by leveraging deep learning transfer learning. Instead of spending days training complex convolutional neural networks from scratch, we will

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MobileNet Image Classification in Python: Complete Keras & OpenCV Tutorial

TensorFlow tutorials /
MobileNet Image Classification

Introduction This tutorial shows how to build a complete image classification pipeline in Python with a pretrained MobileNet model.You will load the model, preprocess any input image to the required dimensions, run inference, decode the ImageNet labels, and render the predicted class directly on the image with OpenCV.By the end, you will have a single,

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How to Classify Landmarks Using TensorFlow, TensorHub, and Python

TensorFlow tutorials /
TensorFlow Hub Landmark Classification

Understanding TensorFlow Hub (TensorHub) When building deep learning models, one of the biggest challenges is training from scratch — it’s time-consuming, requires a massive dataset, and demands significant computational power.That’s where TensorFlow Hub (often shortened to TensorHub) comes in. TensorFlow Hub is an open-source platform created by Google that allows developers and researchers to reuse,

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Eran Feit