VGG16 Architecture Large Scale Image Data Classifications Implementation with Tensorflow Python| p1
In this tutorial we are going to learn:
1. How to make a large deep neural network.
2. How to make large model with tensorflow version 2
3. How to train a large neural network with custom data
Credit: YunYang1994
VGG Paper Link: https://arxiv.org/pdf/1409.1556.pdf
GitHub link: https://github.com/YunYang1994/Tensor...
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.
Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning.
Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems.
#VGG-16 #LargeNeuralNetwork #tensorflow2Python