TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras
🎥 In our latest 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 architecture of MobileNet, a pre-trained model. We'll then customize it for our specific classification task.
🖼️ Data Preparation: Learn how to preprocess and organize your data into train, validation, and test sets, ensuring your model has a solid foundation to learn from.
🧠 Model Training: We'll guide you through the process of training your model, fine-tuning it to achieve impressive accuracy.
📊 Model Evaluation: Discover how to assess the performance of your sports image classifier and understand the results.
📸 Real-World Predictions: Watch as we make predictions on new sports images, overlaying the predicted class for a real-world demonstration of our model in action.
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Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks
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Actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
Check out our tutorial here :
TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras
Welcome to our guide on Sports Image Classification using TensorFlow, Keras, and MobileNet! 🏆📸In this tutorial, You'll learn how to build an image classifi...
Enjoy
Eran
#Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #mobilenet #ImageClassificationTutorial #SportsImageClassification
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