Project ,

Digit Recognition

Course
Curriculum

What will you Learn in the Project?

  1. Basics of Tensorflow and Keras
  2. Models
  3. Tensors
  4. ANN Intuition
  5. CNN
  6. MLP Image Processing
  7. RNN Models
  8. RNN Intuition
  9. Boltzmann Machine Intuition
  10. Restricted Boltzmann Machine

Requirement

This course does NOT cover the theory part so it assumes that you know the theory of Deep Learning

 

Description

This course contains 14 Demos and 2 Industry standard project with self-paced solution explainer

Demos:

  1. Basics of Tensorflow and Keras
  2. Models
  3. Tensors
  4. ANN Intuition
  5. CNN
  6. MLP Image Processing
  7. RNN Models
  8. RNN Intuition
  9. Boltzmann Machine Intuition
  10. Restricted Boltzmann Machine

Projects:

-Movie Review Sentiment Prediction

Your work is to create a deep learning binary classification model that understand the user comments and predict whether the comment is positive or negative review.
 


-Digit Recognition

You need to create a model that could detect the numbers written in vehicle number plate precisely and thereafter security team can integrate your model to campus webcam to detect numbers or digits from number plate. This model should able to recognized digital as well as handwritten digits, because if the vehicles is new, the number plate’s digits may be hand written.
 

Who this course is for?

1. College Freshers
2. Anyone who wants to see what are the use cases where Deep Learning applies and how to implement various concepts
3. Any one who wants to start their journey in Artificial Intelligence

Course Content

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Skills you will develop

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