What you'll learn
Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)
Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend
Visualize the Activation Maps used by CNN to make predictions using Grad-CAM and Deploy the trained model using Tensorflow Serving
Skills you'll practice
Computer Vision
Tensorflow
Keras (Neural Network Library)
Deep Learning
Image Analysis
Data Processing
Interactive Data Visualization
Artificial Neural Networks
Applied Machine Learning
