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. 1. Introduction to image classification and CNNs. 2. Using TensorFlow and Keras for building the classification process. 3. Loading pre-trained models from the Keras application library (such as ResNet50 and MobileNet). 4. Explaining how to prepare a fresh image for classification, including resizing it to the model's shape and converting it to a batch of images using the Numpy expand_dims function. 5. Running the prediction process on the pre-trained models (ResNet50 and MobileNet) for the given image. 6. Comparing and analyzing the quality of predictions between the two models. The link for the video : I also shared the Python code in the video description . Enjoy Eran #Python #TensorFlow #Deeplearning #convolutionalneuralnetwork #mobilenet #Resnet50
