How to classify monkeys images using CNN , Keras tuner hyper parameters , and transfer learning ? (part1)

🎥 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) 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.
Lastly, in the fifth 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

Video 1: Data Preparation Tutorial
In this tutorial we will download the dataset , make some data discovery , and prepare the images for the next phase of building the CNN model.

Link for the tutorial is here : https://youtu.be/ycEzhwiAXjY

I shared link for the code in the video description.

Enjoy
Eran

Python #Cnn #TensorFlow #Deeplearning #basicsofcnnindeeplearning #cnnmachinelearningmodel #tensorflowconvolutionalneuralnetworktutorial