This video explains the deep learning neural network model of Image Classification in Python with TensorFlow. This project explains preprocessing of data of fruits and vegetables, reading image datasets from folders to Array in TensorFlow, building deep learning neural network model with multiple layers of sequential model, training the model, evaluating the model and ultimately the use of deep learning Neural network model of image classification as a web application.

#deeplearning #deeplearningproject #image classification

These Deep Learning neural network models will be used in real time to classify all types of images. All you have to do is watch this video to understand the complete process of building a Deep Learning Neural Network image classification model.

0:00 – 0:07 – Introduction of the project
0:08 – 01:26 – Demo
01:26 – 03:07 – Explain model
03:07 – 16:52 – Preprocessing data
16:52 : 33:55 – Model creation
33:55 – 40:19 – Predicting values from the model
40:20- 53:59 – Deploy model as web app

Link to dataset – https://drive.google.com/file/d/1CGiAWso43GCsNo_faRq4jdDIlmwy7YI4/view?uspsharing

Link to code – https://drive.google.com/file/d/1rIXgFJLW-I2oUNRi1TAAA3yWmz053lkk/view?uspsharing

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Link to Machine Learning Projects in Python
https://www.youtube.com/playlist?listPLyk7y6rWi9cB-wOLftQzx-IQFhJ9__QwY

Link to Deep Learning Projects in Python
https://www.youtube.com/playlist?listPLyk7y6rWi9cAOJ5u6Xn9Jf7sBDhyHdJCz

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