Image Classification Using Densnet Model | Transfer learning Densnet

DenseNet, specifically DenseNet201, is a powerful convolutional neural network model renowned for its intricate connectivity patterns, facilitating efficient feature reuse and propagation. Leveraging frameworks like Keras and TensorFlow further streamlines DenseNet implementation, offering flexible and scalable solutions for deploying models and conducting transfer learning. Through DenseNet transfer learning in TensorFlow, practitioners can harness pre-trained models to expedite the process of training and fine-tuning, thereby enhancing efficiency and performance in diverse image classification tasks. This tutorial has 3 parts : 🔍 Data Preparation: We'll start by preparing and loading the train test and validation images. 🛠️ Model Building with TensorFlow Keras: Next, we'll dive into the implementation of densnet201 architecture using TensorFlow's Keras API. You'll learn how to configure and fine-tune the pre-trained model for your specific task. 📊 Testing the Model: Once the model is trained, we'll show you how to test the model using a new and fresh image You can find the full post and code here : https://eranfeit.net/how-to-build-a-densenet201-model-for-sports-image-classification/ You can download the code here : https://eranfeit.lemonsqueezy.com/buy/7b31bce7-f704-45d3-8392-8736d1aa76cc or here https://ko-fi.com/s/233f61d885 Here is link for the post in Medium : https://medium.com/pythoneers/how-to-build-a-densenet201-model-for-sports-image-classification-03e74e14bf1a You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/ More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~ If you’re just beginning, I recommend this step-by-step course designed to introduce you to the foundations of Computer Vision : https://trk.udemy.com/9LoE7E If you’re already experienced and looking for more advanced techniques, check out this deep-dive course : https://trk.udemy.com/EEDyMD ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ☕ Buy me a coffee - https://ko-fi.com/eranfeit 🌐 https://eranfeit.net 🖥️ Email : [email protected] 🤝 Fiverr : https://www.fiverr.com/s/mB3Pbb 🐦 Twitter - https://twitter.com/eran_feit 📸 Instagram - https://www.instagram.com/eran_feit/ ▶️ Subscribe - youtube.com/@eranfeit?sub_confirmation=1 🐙 Facebook - https://www.facebook.com/groups/3080601358933585 📝 Medium - https://medium.com/@feitgemel ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/EranFeit ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #EranFeit #densnet201 #python ~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~ 00:00 Introduction 00:11 Prepare the data 08:10 Build the Model - Transfer learning 20:50 Test The Model ~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u