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Project README

Deep Learning

Practice Projects


P0: Image Classification

Project 🌐   Solutions 🌐

Colaboratory Notebooks

flower_classification.ipynb 📖

Interactive Reports with SageMathCell

P0: Image Classification 🌀


P1: Neural Networks for Regression

Project 🌐   Solutions 🌐

Colaboratory Notebooks

boston_regression.ipynb 📖

Interactive Reports with SageMathCell

P1: Neural Networks for Regression 🌀


P2: Multi-Label Classification

Project 🌐   Solutions 🌐   Solutions 2 🌐

Addition 🌐

Colaboratory Notebooks

letter_recognition.ipynb 📖
letter_generator.ipynb 📖

Interactive Reports with SageMathCell

P2: Multi-Label Classification 🌀
P2: Letter Recognition. Keras Applications 🌀
P2: Letter Generation 🌀


P3: Parts of Speech In Progress


P4: Style Recognition

Project 🌐   Solutions 🌐

Colaboratory Notebooks

style_recognition.ipynb 📖

Interactive Reports with SageMathCell

P4: Style Recognition 🌀


P5: Decor Recognition & Colorization

Solutions. Part 1 🌐   Solutions. Part 2 🌐

Addition 🌐   Addition 2 🌐

Colaboratory Notebooks

decor_classification.ipynb 📖
style_transfer.ipynb 📖
style_transfer_2.ipynb 📖

Interactive Reports with SageMathCell

P5: Decor Recognition & Colorization 🌀
P5: Style Transfer 🌀   P5: Style Transfer 2 🌀

Datasets

📖   Flower Color Images

📖   Classification of Handwritten Letters

📖   Style Color Images

📖   Traditional Decor Patterns

Open Source Agenda is not affiliated with "Deep Learning Projects" Project. README Source: OlgaBelitskaya/deep_learning_projects