Table of Content
 


Module 1

NEURAL NETWORKS FOUNDATIONS

  • The Course Overview
  • Perceptron
  • Building a Network to Recognize Handwritten Numbers
  • Playing Around with the Parameters to Improve Performance

KERAS INSTALLATION AND API

  • Installing and Configuring Keras
  • Keras API
  • Callbacks for Customizing the Training Process

DEEP LEARNING WITH CONVOLUTIONAL NETWORKS

  • Deep Convolutional Neural Network - DCNN
  • Recognizing CIFAR-10 Images with Deep Learning


Module 2

INTRODUCTION TO DEEP LEARNING

  • The Course Overview
  • What is Deep Learning?
  • Machine Learning Concepts
  • Foundations of Neural Networks
  • Optimization

GET STARTED WITH KERAS

  • Configuration of Keras
  • Presentation of Keras and Its API
  • Design and Train Deep Neural Networks
  • Regularization in Deep Learning

CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS

  • Introduction to Computer Vision
  • Convolutional Networks
  • CNN Architectures
  • Image Classification Example
  • Image Segmentation Example
  • Introduction to Recurrent Networks
  • Recurrent Neural Networks
  • “One to Many” Architecture
  • “Many to One” Architecture
  • “Many to Many” Architecture
  • Embedding Layers

RECOMMENDER SYSTEMS

  • What are Recommender Systems?
  • Content/Item Based Filtering
  • Collaborative Filtering
  • Hybrid System

NEURAL STYLE TRANSFER

  • Introduction to Neural Style Transfer
  • Single Style Transfer
  • Advanced Techniques
  • Style Transfer Explained

ADVANCED TECHNIQUES

  • Data Augmentation
  • Transfer Learning
  • Hyper-Parameter Search
  • Natural Language Processing

GENERATIVE ADVERSARIAL NETWORKS

  • An Introduction to Generative Adversarial Networks (GAN)
  • Run Our First GAN
  • Deep Convolutional Generative Adversarial Networks (DCGAN)
  • Techniques to Improve GANs


Apply for certification

https://www.vskills.in/certification/data-science/deep-learning-with-keras-online-course