Best Online Deep Learning and Computer Vision Training Institution

Learn Deep Learning and Computer Vision Certification Course with Live Projects

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Placement Courses

Global certificate

Deep Learning and Computer Vision

Objective: On completing this course, there will be ample opportunities for you to work as a Deep learning engineer or AI specialist. You will be able to do some real world concepts like TensorFlow, Keras, neural network, ANN, CNN,OpenCV etc. After completion of this course will be able work on real life projects like image processing, text classification, recommendation engine, Object or Face recognition etc.

Technical Prerequisite: Knowledge of High level Mathematics, statistics, python and Machine learning will be highly required.

System Prerequisite: Min 8GB RAM, Windows 8 or above, High Speed internet connection

Suitable For: 3rd Yr / 4th Yr B.Tech. / Diploma / MCA / BCA students

Deep Learning and Computer Vision Course Curriculum

Course Duration: 4/6 Weeks & 3/6 Months

Online : Regular Batches / Weekend Batches

Live Project

Certification

Soft Skill Development

Advanced Programs

  • What is AI and ML
  • Fields of AI
  • Application of ML in AI
  • Types of ML
  • Limitations of ML
  • Solutions using deep learning
  • Application of deep learning
  • How deep learning works
  • What is neuron
  • Introduction to artificial neuron or perceptron
  • Neural network activation functions
  • Weights and bias
  • Types of activation functions
  • Training a perceptron
  • Parameters of perceptron
  • What is learning rate, epoch
  • Optimization algorithm
  • Introduction to tensorflow
  • Tensorflow syntax
  • Constants, Variable and placeholder
  • Introduction to Keras
  • Introduction to ANN
  • How it works
  • Layers in ANN
  • Concepts of back propagation
  • Example of image recognition using ANN
  • Understanding CNN
  • Why CNN
  • Convolution layer, filtering
  • ReLU and Pooling layer
  • Fully connected network
  • CNN use case
  • What is pre trained model
  • Advantage of pre trained model to speed up your CNN
  • Imagenet dataset
  • VGG 16, VGG 19 model
  • Train your model using VGG and compare accuracy
  • What is computer vision
  • Use of computer vision in real life
  • What is openCV
  • Install cv2
  • Use of openCV in detecting objects
  • Different functions in opencv
  • Use openCV to detect face
  • Video, audio recognition using openCV







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