Commits · Jensen-holm/Numpy-Neuron

Moving towards making this a python package for simple neural network

03f2b37

Jensen-holm commited on Apr 19

features added:

e11b37a

Jensen-holm commited on Apr 17

getting rid of unessesary imports

e236c9a

Jensen-holm commited on Apr 15

latest update, finishing classification with MNIST! More details on

6d0453c

Jensen-holm commited on Apr 15

switching to gradio and a complete rewrite that I did over in the

6307b4f

Jensen-holm commited on Apr 12

fixed bug that returned same number twice in response

d04aaf5

Jensen-holm commited on Oct 16, 2023

also returning accuracy score from test data from the api

bff0f22

Jensen-holm commited on Oct 15, 2023

adding accuracy score tracking

303df47

Jensen-holm commited on Oct 12, 2023

added loss history in the return to the user so they can make graphs and

2fc4a94

Jensen-holm commited on Oct 11, 2023

adding accuracy score metric

03176c2

Jensen-holm commited on Oct 11, 2023

moving on to testing other datasets!

9e506b7

Jensen-holm commited on Oct 11, 2023

currently debugging mismatched shape error when computing weights and

880505a

Jensen-holm commited on Oct 11, 2023

init weights and biases, and getting through epochs

84bbd7d

Jensen-holm commited on Oct 11, 2023

init weights and biases

38e3b7b

Jensen-holm commited on Oct 11, 2023

successful example

14841f9

Jensen-holm commited on Oct 11, 2023

handling errors well with the neural netork api

8c348c5

Jensen-holm commited on Oct 11, 2023

working on new python implementation with cleaner code

29cce3f

Jensen-holm commited on Oct 11, 2023

stuck on working with computeOutput function, getting dim error every

0987346

Jensen-holm commited on Oct 11, 2023

mapping activation arg to the actual function

0a04cd7

Jensen-holm commited on Oct 11, 2023

initializing weights and biases

59ae052

Jensen-holm commited on Oct 11, 2023

working through Train() function

6b47160

Jensen-holm commited on Oct 10, 2023

updated ignore for vim *.swp files when committing from vim terminal

c4864dc

Jensen-holm commited on Oct 10, 2023

added trainTestSplit() function

554811e

Jensen-holm commited on Oct 10, 2023

adding activation funcs

27c0b63

Jensen-holm commited on Oct 10, 2023

significantly decreased the complexity of the API by deciding to make

eec3b88

Jensen-holm commited on Oct 9, 2023

re configured the Alg interface and the NN sttuct, now we have to work

a4aa491

Jensen-holm commited on Oct 9, 2023

splitting up code into seperate modules

dfd3544

Jensen-holm commited on Oct 9, 2023

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Numpy-Neuron

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Commit History

Moving towards making this a python package for simple neural network

03f2b37

features added:

e11b37a

getting rid of unessesary imports

e236c9a

latest update, finishing classification with MNIST! More details on

6d0453c

switching to gradio and a complete rewrite that I did over in the

6307b4f

fixed bug that returned same number twice in response

d04aaf5

also returning accuracy score from test data from the api

bff0f22

adding accuracy score tracking

303df47

added loss history in the return to the user so they can make graphs and

2fc4a94

adding accuracy score metric

03176c2

moving on to testing other datasets!

9e506b7

currently debugging mismatched shape error when computing weights and

880505a

init weights and biases, and getting through epochs

84bbd7d

init weights and biases

38e3b7b

successful example

14841f9

handling errors well with the neural netork api

8c348c5

working on new python implementation with cleaner code

29cce3f

stuck on working with computeOutput function, getting dim error every

0987346

mapping activation arg to the actual function

0a04cd7

initializing weights and biases

59ae052

working through Train() function

6b47160

updated ignore for vim *.swp files when committing from vim terminal

c4864dc

added trainTestSplit() function

554811e

adding activation funcs

27c0b63

significantly decreased the complexity of the API by deciding to make

eec3b88

re configured the Alg interface and the NN sttuct, now we have to work

a4aa491

splitting up code into seperate modules

dfd3544

Commit History

Moving towards making this a python package for simple neural network 03f2b37

features added: e11b37a

getting rid of unessesary imports e236c9a

latest update, finishing classification with MNIST! More details on 6d0453c

switching to gradio and a complete rewrite that I did over in the 6307b4f

fixed bug that returned same number twice in response d04aaf5

also returning accuracy score from test data from the api bff0f22

adding accuracy score tracking 303df47

added loss history in the return to the user so they can make graphs and 2fc4a94

adding accuracy score metric 03176c2

moving on to testing other datasets! 9e506b7

currently debugging mismatched shape error when computing weights and 880505a

init weights and biases, and getting through epochs 84bbd7d

init weights and biases 38e3b7b

successful example 14841f9

handling errors well with the neural netork api 8c348c5

working on new python implementation with cleaner code 29cce3f

stuck on working with computeOutput function, getting dim error every 0987346

mapping activation arg to the actual function 0a04cd7

initializing weights and biases 59ae052

working through Train() function 6b47160

updated ignore for vim *.swp files when committing from vim terminal c4864dc

added trainTestSplit() function 554811e

adding activation funcs 27c0b63

significantly decreased the complexity of the API by deciding to make eec3b88

re configured the Alg interface and the NN sttuct, now we have to work a4aa491

splitting up code into seperate modules dfd3544

Moving towards making this a python package for simple neural network

03f2b37

features added:

e11b37a

getting rid of unessesary imports

e236c9a

latest update, finishing classification with MNIST! More details on

6d0453c

switching to gradio and a complete rewrite that I did over in the

6307b4f

fixed bug that returned same number twice in response

d04aaf5

also returning accuracy score from test data from the api

bff0f22

adding accuracy score tracking

303df47

added loss history in the return to the user so they can make graphs and

2fc4a94

adding accuracy score metric

03176c2

moving on to testing other datasets!

9e506b7

currently debugging mismatched shape error when computing weights and

880505a

init weights and biases, and getting through epochs

84bbd7d

init weights and biases

38e3b7b

successful example

14841f9

handling errors well with the neural netork api

8c348c5

working on new python implementation with cleaner code

29cce3f

stuck on working with computeOutput function, getting dim error every

0987346

mapping activation arg to the actual function

0a04cd7

initializing weights and biases

59ae052

working through Train() function

6b47160

updated ignore for vim *.swp files when committing from vim terminal

c4864dc

added trainTestSplit() function

554811e

adding activation funcs

27c0b63

significantly decreased the complexity of the API by deciding to make

eec3b88

re configured the Alg interface and the NN sttuct, now we have to work

a4aa491

splitting up code into seperate modules

dfd3544