Hello Viewers, in this video, it is shown that how a deep Convolutional Neural Network (CNN) can be implemented in Python using TensorFlow (TF) and Keras (K).
To understand its working, an interesting example is taken for implementation, where we can classify face images 'With Mask' and 'Without Mask'.
This video has following contents:
- Objective: Recognize a face with Mask or without Mask.
- Proposed Deep CNN based scheme.
- Introduction to TensorFlow, Keras and Python.
- Image Dataset used.
- Python Code to implement deep CNN using TF and K.
- Simulation result analysis.
Links of previous videos:
1. How to create a Deep Neural Network in MATLAB: Click Here
2. Introduction to Deep Learning: Click Here
3. Anaconda Download: https://www.anaconda.com/products/individual#Downloads
4. Image Dataset: https://www.kaggle.com/ashishjangra27/face-mask-12k-images-dataset
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