Hi, This is a Tensorflow tutorial that enables you to classify world landmarks using the pre-trained Tensor-Hub platform. We will how install the relevant Python libraries , look for the right pre-trained model , and learn how to use it for classify landmark images in Europe. The link for the video tutorial is here : […]
How to classify landmarks using Tensorflow , Tensor-Hub and Python ? Read More »
Are you interested in learning how to use deep learning and image classification to predict chess pieces? Check out our new tutorial on building a convolutional neural network model in Python with Tensorflow and Keras! This step-by-step guide will show you how to build and train a model using CNN and evaluate its accuracy and
Building a CNN Model for Chess Piece Recognition in Python and Tensorflow Read More »
Hi, This is a transfer learning – Vgg19 – Convolutional neural network tutorial that demonstrates how to classify weather scenes based on in dataset of weather images. We will use the Vgg19 pre-trained model , and adjust it to our classification request. We will use most of the model , and change only the last
How to classify weather scenes using TensorFlow, Keras, and Transfer learning – Vgg19 ? Read More »
Welcome to artificial intelligence and weather image prediction tutorial ! In this tutorial, we dive deep into Convolutional Neural Networks (CNNs) using TensorFlow and Keras to categorize weather patterns. 🔍 Key Topics Covered: 🔹 Setting up a CNN model for image classification. 🔹 Utilizing TensorFlow and Keras for efficient deep learning. 🔹 Training the model
🌦️ Cnn Tensorflow Image Classification | Weather Image Classification 🌦️ Read More »
Welcome to Brain tumor beginner tutorial, where we delve into world of CNNs (Convolutional Neural Networks) and their groundbreaking applications in image classification and brain tumor detection. This is a simple tutorial convolutional neural network tutorial that demonstrates how to brain tumor in a dataset of images. We will build and train a model using
Brain Tumor Classification using Deep learning Read More »
Hi, 🌼 In our latest video tutorial, we will dive into image classification using Python and TensorFlow. Discover how to create a Convolutional Neural Network (CNN) 📊 that can identify various types of flowers 🌻. What you’ll learn: If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras
TensorFlow CNN Tutorial: Flower Classification with Python 🌷 Read More »
This is an image Classification tutorial using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs). In this video, we’ll learn how to use pre-trained models to classify images based on Resnet50 and Mobilenet. If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you
TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet Read More »
🎥 In this video tutorial, we will dive deep into the world of sports image classification! 🏀📸 🔍 What’s Covered in this Video: 📦 Dataset Download: We’ll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories. 🏋️♂️ Model Building: Using TensorFlow and Keras, we’ll dive into the
Hi, 🍏🥕🍅 In this tutorial, we guide you through the process of building a neural network capable of classifying 36 different fruits and vegetables using TensorFlow and Python. 🎥 📚 Here’s what you’ll learn: 🔹 Data Preparation: Explore the dataset and learn how to preprocess and organize your image data effectively. 🔹 Model Building: Construct
Food Recognition : Classifying 36 Fruits and Vegetables in TensorFlow Read More »
🎥 Discover the world of image classification using TensorFlow, Pixellib, and Python in our latest video tutorial! 🌟 Learn how to train and detect custom images, enhancing your computer vision skills. 📸🔍 In this informative tutorial, we’ll explore the process of annotating objects within images, creating accurate labels with dot markings and JSON files. We’ll
