Repository on ZTM (Zero to Mastery) course on Deep learning with TensorFlow 2.x with Google Colab.

Further references available in:

https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/

and

https://github.com/mrdbourke/tensorflow-deep-learning

Topics covered:

• Tensorflow fundamentals
• Regression
• Classification
• Computer vision with CNN
• Transfer learning: feature extraction
• Transfer learning: Fine tuning
• Transfer learning: scaling up
• Introduction to NLP
• Time series forecasting
• Passing the TensorFlow Developer Certificate

• Food Vision: Image classifier of 101 different kinds of food. View code here
• Skimlit: Goes through RCT abstracts and classifies sentences into categories of background, objectives, methods, results, and conclusion. Check the code out here
• Bitpredict: Time series forecasting of Bitcoin Prices. Please do consider that time forecasting series of random walks cannot be really forecasted, and only approximated to a Naive model. View the code here