Udemy: (100% OFF) Convolutional Neural Networks in Python: CNN Computer Vision

 

Convolutional Neural Networks in Python: CNN Computer Vision

Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2

What you’ll learn

1. Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
2. Build an end-to-end Image recognition project in Python
3. Learn usage of Keras and Tensorflow libraries
4. Use Artificial Neural Networks (ANN) to make predictions
5. Use Pandas DataFrames to manipulate data and make statistical computations.

Description

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course

What is covered in this course?

Part 1 (Section 2)- Python basics

Part 2 (Section 3-6) - ANN Theoretical Concepts

Part 3 (Section 7-11) - Creating ANN model in Python

Part 4 (Section 12) - CNN Theoretical Concepts

Part 5 (Section 13-14) - Creating CNN model in Python

Part 6 (Section 15-18) - End-to-End Image Recognition project in Python

By the end of this course, your confidence in creating a Convolutional Neural Network model in Python will soar. You'll have a thorough understanding of how to use CNN to create predictive models and solve image recognition problems.

Original price : 1299 Rs

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