Artificial Intelligence (AI) revolution is here and TensorFlow
2.0 is finally here to make it happen much faster! TensorFlow 2.0
is Google’s most powerful, recently released open source platform
to build and deploy AI models in practice.
AI technology is experiencing exponential growth and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Artificial Neural Networks and Deep Learning models using TensorFlow 2.0 and Google Colab.
The course provides students with practical hands-on experience in training Artificial Neural Networks and Convolutional Neural Networks using real-world dataset using TensorFlow 2.0 and Google Colab.
Table of Contents:
01 INTRODUCTION AND COURSE OUTLINE
02 BUILD YOUR FIRST SIMPLE PERCEPTRON (SINGLE NEURON) MODEL IN TF 2.0
03 BUILD A MULTI LAYER ARTIFICIAL NEURAL NETWORKS FOR REGRESSION TASKS
04 ARTIFICIAL NEURAL NETWORKS FOR CLASSIFICATION TASKS
05 DEEP LEARNING FOR IMAGE CLASSIFICATION
06 MODEL DEPLOYMENT USING TF SERVING