Day 34 – Predict An Image Using VGG16 Pretrained Model
Gopi Chandrakesan
?? Project Manager/Solution Architect ?? Blogger on SAP, ?? Artificial Intelligence, ?? Machine Learning, and ?? Deep Learning ?? Ask me about Data Intelligence
We have already gone through Convolutional Neural Networks – Layers, Filters, and Architectures and Predict Image Using ResNet50 Pretrained Model, one of the blogs. We don’t need to create a new architecture from scratch for our projects; instead, we can use existing Convolutional Neural Networks(CNN) popular architectures like LeNet-5, ResNet, VGG16, etc. models to check how it predicts. Today, we will use Convolutional Neural Networks(CNN) VGG16 architecture pre-trained model to predict “Sunflower,” and we will check how much accuracy shows. We can also compare and see with ResNet50. VGG16 developed by Oxford Visual Geometry Group and they won the ILSVRC challenge in 2016.
I am working on a few kinds of research on the Enterprise Resource Planning side and using Convolutional Neural Networks(CNN) Image Recognition and computer vision.
I have used Google Colab IDE for this example.
Further Reading
Posts on Artificial Intelligence, Deep Learning, Machine Learning, and Design Thinking articles:
Predict Image Using ResNet50 Pretrained Model
Customer Sales Order Delivery Time Prediction Using Random Forest Regression
Tensorflow Sobel Filter Image Processing and Computer Vision
Day 31 – Convolution Neural Network(CNN) Edge Detect Filter 3×3
ImageNet Dataset Largest Visual Database
Customer Sales Order Delivery Time Prediction Using Neural Network
Rasa X Open Source Conversational AI UI Walk-through
Text to Image Generation Using OpenAI’s CLIP and BigGAN
Step by Step Installation of Rasa X Open Source Conversational AI
Posts on SAP:
Thinking Beyond The Possibilities of SAP EM with SAP BRF Plus
What are the different types of Events in SAP Event Management?
SAP Event Management RFID Evolution – Computers & Communications are inevitable today
A simple wireframe design for SAP FIORI UI Chatbot – Part II
How to create your own SAP Fiori Chatbot in 10 days?
How SAP Event Management helps the discrete processing industry?