Video 3: Enhancing Classification with Keras Tuner: 🎯 Take your monkey species classification to the next level by leveraging the power of Keras Tuner. So , how can we decide how many layers should we define ? how many filters in each convolutional layer ? Should we use Dropout layer ? and what should be […]
🎥 Image Classification Tutorial Series: Five Parts 🐵 In these five videos, we will guide you through the entire process of classifying monkey species in images. We begin by covering data preparation, where you’ll learn how to download, explore, and preprocess the image data. Next, we delve into the fundamentals of Convolutional Neural Networks (CNN)
🎥 Image Classification Tutorial Series: Five Parts 🐵 In these five videos, we will guide you through the entire process of classifying monkey species in images. We begin by covering data preparation, where you’ll learn how to download, explore, and preprocess the image data. Next, we delve into the fundamentals of Convolutional Neural Networks (CNN)
Hi, In this video tutorial, you’ll discover how to classify car images using computer vision and deep learning. We’ll be using Tensorflow and Keras to configure a Resnet50 model that can quickly and accurately classify car brands with transfer learning. Whether you’re interested in building your own image classification models or want to apply deep
Resnet50 Tutorial: Classifying Car Images with Transfer Learning and Tensorflow Read More »
In this video, we’ll show you how to use TensorFlow and Mobilenet to train an image classification model through transfer learning. We’ll guide you through the process of preprocessing image data, fine-tuning a pre-trained Mobilenet model, and evaluating its performance using validation data. The link for the video tutorial is here : https://youtu.be/xsBm_DTSbB0&list=UULFTiWJJhaH6BviSWKLJUM9sg Code for
TensorFlow Transfer Learning: Classify Images with Mobilenet and Python Read More »
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 »
