Boston Training Academy

Certificate in Deep Learning

Course information and schedule

 

DURATION: 2 months / 40 Hours | STRUCTURE: Instructor Led |  PRE-REQUISITES: Python* programming, Statistics

 

What you will learn

This course offers an opportunity to learn the techniques, terminology and mathematics of deep learning, the fundamental neural network architectures, feedforward networks, convolutional networks and recurrent networks. Students can discover how to appropriately build and train these models and learn about various deep learning applications, how to use pre-trained models for best results and how to build a basic neural network using Keras* with TensorFlow* as the backend.

 

Course Modules

 

  •   Introduction to Deep Learning

  •  Image Classification

  •  Object Detection

  •  Neural Network Deployment and TensorRT

  •  Image Segmentation with TensorFlow
  •  Natural Language Processing

  •  Introducing RNNs

  •  Combining CNNs and RNNs for Image Captioning

  •  Video Captioning

  •  Capstone Project

 

 

 

Who
should apply?

 

  •  Working professionals with minimum 1 years
  •  Should possess a bachelor’s or master’s degree in Science/ Engineering/ Mathematics/ Statistics/ Economics or an equivalent qualification with Mathematics/ Statistics as one of the subjects
  •  Freshers with an analytical bent of mind and superlative academic credentials with Engineering background

 

 

APPLICATION
FORM

 

 

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