Introduction to Deep Learning

Global AI Hub is pleased to introduce to you the Basic Deep Learning Series. This 5-days and in total 10-hours packed training is designed to introduce you to the skills needed to start your journey as a Deep Learning Developer.

We created the content of the education by using the sources of the world’s leading universities, Boğaziçi, Stanford, Caltech, MIT and Harvard!

Our education is certified.

“Artificial intelligence is a tool. The choice on how to deploy is ours.”
Ören Etzioni

If you also want to have a say in this vast world, sign up for our training at the link on our profile and take your first step to build the future!

Curriculum:

Introduction to DL

  • What is Deep Learning?
  • Perceptron
  • MLP
  • Types of Deep Learning

Neural Nets

  • Neurons
  • How do Neural Nets Learn?
  • Activation Functions
  • Forward & Backward Propagation
  • Cost Function
  • Optimization Algorithms
  • Hyperparameters
  • Batch Norm
  • Regularization

Convolutional Neural Networks

  • Introduction to CNNs Architecture
  • Working with Images
  • Convolution Operation
  • Pooling
  • Flattening
  • Full Connection

Recurrent Neural Networks

  • Introduction to RNN Architecture
  • Loss Function
  • Vanishing/ Exploding Gradient
  • Gradient Clipping
  • Gated Recurrent Unit (GRU)

Long Short-Term Memory (LSTM) 

  • Introduction to LSTM Architecture
  • Working with Time Series Data
  • How do LSTM Learn?
  • Gates

Deep Convolutional Generative Adversarial Network (GAN)

  • Introduction to GAN Architecture
  • Use Cases of GAN
  • Discriminator & Generator

Course Information

  Skill Level: Introduction

  Students Enrolled: 0

  Languages: English

  Total Duration: 10 hours

  Certification: Yes