A bit of confusion, learning for ideas implementation vs learning for certification. Hoping to make an honest attempt to cover. I am poor in MCQ always so slow and study revise, post, blog and see if it works :)
The handbook is key - Link
- Building and training neural network models using TensorFlow 2.x
- Image classification - CNN, ImageDataGenerator
- Natural language processing (NLP) - binary categorization, multi-class categorization, LSTM
- Time series, sequences and predictions
Youtube playlist - Link1
Good Reference of materials - Link
Example codes - Link
For every topic
- Refer TensorFlow documentation
- Git Examples
- Example codes
- Summary of concepts, learning
- Pycharm familiarity
Books
- Data Science on the Google Cloud Platform - Valliappa Lakshmanan
- Machine Learning Design Patterns - Valliappa Lakshmanan, Sara Robinson, Michael Munn
Start Slowly and Keep Going!!!
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