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Deep Learning in Computer Vision Course

Deep Learning in Computer Vision Course

Course Duration: 60 Hours
Weekly: 2 Days per class 2 hour

Course Overview

Training Key Benefits:
  • Gain expertise with 20+ hands-on exercises
  • Job oriented real-life industry projects
  • Dedicated mentoring sessions from Industry Expert
  • International Faculty
  • Priority basis Intern Facilities
  • Freelancing support for Market place 

Focused Job Role: 

  • Deep Learning Engineer

Pre-requisites: 

  • Graduate in any discipline

Module 1: Introduction to deep learning

Variability models (deformation model, stochastic model)

Intro scattering networks

Covariance/invariance: capsules and related models

Connections with other models: dictionary learning

Other tasks: localization, regression

Extensions to non-Euclidean domains

Module 2: Deep supervised Learning with Neural Networks

Deep Learning

Single and Multi-Layer Neural Networks

Perceptron Rule

Gradient Descent

Backpropagation

Loss Functions

Module 3: Deep Unsupervised Learning

Autoencoders (standard, denoising, contractive, etc.)

Variational Autoencoders

Adversarial Generative Networks

Maximum Entropy Distributions

Module 4: Hyperparameters tuning, Regularization, and Optimization

Parameters vs Hyperparameters

Regularization reduces overfitting

Data Augmentation

Vanishing/Exploding gradients

Weight Initialization Methods

Optimizers

Building a Linear Classifier

Module 5: Deep Learning for Vision Problems

Object Localization & Detection

Bounding box predictions

Anchor boxes

Region Proposal Networks

Detection Algorithms: RCNN Faster RCNN, Yolo, SSD

Caffe & Object Detection

Module 6: Sequence Models

Recurrent Neural Networks (RNN)

Gated Recurrent Unit (GRU)

Long Short-Term Memory (LSTM)

Bidirectional RNN

Backpropagation through time

Image Caption Generation

Machine Translation

Text Generation & Summarization

Image Captioning & Text Generation

Module 7: Miscellaneous (Basics)

Capsule Networks

Convolutional LSTM

Attention Networks

Restricted Boltzmann Machine

One-Shot Learning, Siamese Networks

Triplet Loss

Graph CNN

Approximate and Energy-Efficient Design for Deep

Enroll in this course to become an industry expert on Deep Learning with Computer Vision

Industry Project:

  • Hand Written Digit Classification
  • Image classification
Certificate:
Upon successful completion of the Deep Learning Course, we will provide an industry recognized course completion certificate which has lifelong validity.

 

International Collaboration: Data Core

National Collaboration: Jashore University of Science and Technology (JUST)

Membership: BASIS


Price : 29999৳