In this session, you learnt many new concepts related to TensorFlow. So, here is a summary of the concepts that were covered by this session:
- Matrix operations can be performed only if they have compatible shapes, which might not be the case every time. Hence, you learnt how to use reshaping and broadcasting to modify a shape to make it compatible.
- You learnt how TensorFlow generates computational graphs for performing various operations.
- You also learnt how the gradient is computed in TensorFlow which are you during model training in deep learning.
- You also learnt how to minimise functions and saw the architecture of TensorFlow.
You can download the summary notes for this module given below:
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