Why do we prefer storing activation A (and in week 4, also parameters W and b) for re-use in backward propagation in a cache, not in a dictionary?
- What makes a cache better than a dictionary for storing?
- What is the main technical difference between a cache and a dictionary in terms of storing values?
Are you sure cache isn’t merely used as a descriptive variable name (and not a data type) ?
Note the absence of cache here: 5. Data Structures — Python 3.10.8 documentation
or here: 3. Data model — Python 3.10.8 documentation
Here is the relevant excerpt from the Data model page…
These represent finite sets of objects indexed by arbitrary index sets. The subscript notation
a[k]selects the item indexed by
k from the mapping
a; this can be used in expressions and as the target of assignments or
del statements. The built-in function
len() returns the number of items in a mapping.
There is currently a single intrinsic mapping type:
These represent finite sets of objects indexed by nearly arbitrary values
my emphasis added
Hi @Doron_Modan ,
As @ai_curious says, cache is just the name of the variable, but it is really a dictionary. If you have the chance, check out lab lab from week 3 where you’ll find examples of this.
Right! The word cache is indeed in plain font, no special colour