TensorFlow developer course by Zero to Mastery. Most of the notebooks in this directory were created in google colab, in some cases I finished them on PyCharm
- Fundumentals of progrmming with TensorFlow in notebook 00.
- Introduction to regression with TensorFlow in notebook 01.
- Binary and multi-class classification in TensorFlow in notebook 02.
- Convolutional Neural Networks and Computer Vision problems in notebook 03.
- Note: This notebook was finished with PyCharm.
- Transfer Learning - feature extractrion with transfer learning in notbook 04
- Transfer Learning - Fine tuning a model in notebook 05
- Transfer Learning - Creating a model to beat the original Food101 Paper in notebook 06 🍔👁
- Transfer Learning - Creating a model, using fine tuning and mixed precision to beat DeepFood paper in notebbok 07
- Note: The notebook was completed using PyCharm
- Intoduction to NLP - Creating a classification model for disaster\no disaster tweets with Tensorflow in notebook 08
- Creating SkimLit - and NLP model for abstract skimming: the model takes wach line and classifiy it to the right section in PubMed abstract, based on PubMed 200k RCT in notebook 09 📄🔥
- Forecast the price of BitCoin using time series modelling with TensorFlow in notebook 10 💰📈