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This instance was upgraded to Heptapod 0.28.0 today

Commit ac3edb4c by Alexander Bentkamp

### Deep Learning: add types in defs

```--HG--
branch : deep_learning```
parent 5b050023d51e
 ... ... @@ -466,8 +466,10 @@ assumes y_valid:"y < rs ! 0" begin definition "A ws = tensors_from_net (insert_weights shared_weights (deep_model_l rs) ws) \$ y" definition "A' ws = ten2mat (A ws)" definition A :: "(nat \ real) \ real tensor" where "A ws = tensors_from_net (insert_weights shared_weights (deep_model_l rs) ws) \$ y" definition A' :: "(nat \ real) \ real mat" where "A' ws = ten2mat (A ws)" lemma dims_tensor_deep_model: ... ...
 ... ... @@ -6,7 +6,8 @@ theory DL_Deep_Model_Poly imports DL_Deep_Model Polynomials.More_MPoly_Type Jordan_Normal_Form.Determinant begin definition "polyfun N f = (\p. vars p \ N \ (\x. insertion x p = f x))" definition polyfun :: "nat set \ ((nat \ 'a::comm_semiring_1) \ 'a) \ bool" where "polyfun N f = (\p. vars p \ N \ (\x. insertion x p = f x))" lemma polyfunI: "(\P. (\p. vars p \ N \ (\x. insertion x p = f x) \ P) \ P) \ polyfun N f" unfolding polyfun_def by metis ... ...
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