📑 Deep Learning. Practice Project 3_0: Product & Brand Recognition
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For this project, I have made the database of photos sorted by products and brands.
The dataset consists of 2184 color images (150x150x3) with 7 brands and 10 products.
Original photo files are in the .png format and the labels are integers and string values.
✒️ Step 0. Importing Libraries and Defining Helpful Functions
✒️ Step 1. Loading and Preprocessing the Data
💡 The cells below do not work with Python 3.9.
Unfortunately, we can train with guarantee only one neural network at ones.
Please restart the page and load the data again for training each of them.
✒️ Step 2. One-Label Classification Models
✒️ Step 3. Multi-Label Classification Models