In this video, we dive into the fascinating world of deep neural networks and visualize the outcome of their layers, providing valuable insights into the classification process
How to visualize CNN Deep neural network model ?
What is actually sees during the train ?
What are the chosen filters , and what is the outcome of each neuron .
In this part we will focus of showing the outcome of the layers.
Very interesting !!
This video is part of 🎥 Image Classification Tutorial Series: Five Parts 🐵
We guides 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) and demonstrate how to build, train, and evaluate a CNN model for accurate classification.
In the third video, we use Keras Tuner, optimizing hyperparameters to fine-tune your CNN model's performance. Moving on, we explore the power of pretrained models in the fourth video,
specifically focusing on fine-tuning a VGG16 model for superior classification accuracy.
You can find the link for the video tutorial here : https://youtu.be/yg4Gs5_pebY&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran
#Python #Cnn #TensorFlow #Deeplearning #basicsofcnnindeeplearning #cnnmachinelearningmodel #tensorflowconvolutionalneuralnetworktutorial