| Part | Description | Modules | 
|---|
     | 📑 0_0: Image Classification
 | one-labeled image data, processing & classification, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 1_0: Neural Networks for Regression
 | Boston housing data, processing, neural networks & other regression algorithms | tensorflow, keras, pandas, numpy, matplotlib, sklearn | 
     | 📑 1_1: Exercises with Regression Algorithms
 | Boston housing data, processing, neural networks & other regression algorithms | tensorflow, keras, pandas, numpy, matplotlib, sklearn | 
     | 📑 2_0: One-Label & Multi-Label Classification
 | multi-labeled image data, processing & classification, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 2_1: Classification with Keras Applications
 | multi-labeled image data, processing, classification, keras NN applications | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 2_2: Image Generation
 | multi-labeled image data, processing & classification, GAN neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 3_0: Product & Brand Recognition
 | multi-labeled image data, processing, classification, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 4_0: Decor Recognition & Contour Colorization
 | multi-labeled image data, processing, classification, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 4_1: Mixed Styles
 | image data, processing, style transfer, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 4_2: TensorFlow Lite
 | image data, processing, style transfer, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 5_0: Processing & Classification of Horse Breeds` Images
 | image data, processing, convolutional neural networks | tensorflow, keras, torch, pandas, numpy, matplotlib | 
     | 📑 5_1: Exercises with Horse Breeds` Images
 | image data, processing, super resolution, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 6_0: Processing & Classification of Tomato Cultivers` Images
 | image data, processing, convolutional neural networks | tensorflow, keras, torch, pandas, numpy, matplotlib | 
     | 📑 6_1: TensorFlow Hub Models
 | image data, processing, classification, convolutional neural networks | tensorflow, tensorflow_hub, keras, pandas, numpy, matplotlib | 
     | 📑 7_0: Simple Neural Networks for Image Classification
 | image data, processing, classification, convolutional neural networks | tensorflow, keras, torch, pandas, numpy, matplotlib | 
     | 📑 7_1: Exercises with White Flowers` Images
 | image data, processing, classification, convolutional neural networks | tensorflow, tensorflow_hub, keras, pandas, numpy, matplotlib | 
     | 📑 8_0: Neural Networks for Classification of Drawings & Photo Images
 | image data, processing, classification, convolutional neural networks | tensorflow, keras, pandas, numpy, matplotlib | 
     | 📑 8_1: Exercises with Adversarial Regularization
 | image data, processing, classification, neural networks with adversarial regularization | tensorflow, neural_structured_learning, keras, pandas, numpy, matplotlib | 
     | 📑 8_2: Exercises with Drawing Images
 | image data, color interpolation, style transfer, object recognition, super-resolution | tensorflow, tensorflow_hub, keras, pandas, numpy, matplotlib |