Inception V3 Practical Implementation | Classify more than 500 Birds Species (!!!)

Dive into the intricacies of Inception-v3 architecture, understanding its role as a neural network powerhouse in the realm of deep learning. Explore the nuances of Inception CNNs and their pivotal role in image classification tasks, alongside the practical implementation of Inception V3 for transfer learning. Unveil the secrets of GoogLeNet, a cornerstone in image classification, particularly in PyTorch implementations, as you dissect its architecture and witness its integration into the TensorFlow ecosystem. Delve into the GitHub repositories dedicated to image classification using Inception V3, where cutting-edge research meets practical application. Through TensorFlow's robust framework, explore the deployment of Inception-v3 models for transfer learning, revolutionizing image recognition paradigms in the realm of artificial intelligence.

Welcome to our tutorial on transfer learning using Inception V3 with TensorFlow! We will classify 525 (!) Birds images In this video, we'll guide you through the entire process of preparing your data, building the model, and testing its performance.

🔍 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 Inception V3 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 download the code here : https://ko-fi.com/s/4090982a5a

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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00:00 Introduction , Prepare the data
04:57 Build the Model - Transfer learning 
18:48 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
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https://www.youtube.com/watch?v=d_JB9GA2U_c