Deep Learing For ZX Spectrum

Implementation of a simple MNIST training for sinclair:

To build and run you need:

It builds 4 tapes to run:

Name		Name	Last commit message	Last commit date
Latest commit History 50 Commits
3d		3d
float16 @ 46c838b		float16 @ 46c838b
mandelbrot		mandelbrot
.gitignore		.gitignore
.gitmodules		.gitmodules
LICENCE.TXT		LICENCE.TXT
README.md		README.md
comp.sh		comp.sh
comp_x64.sh		comp_x64.sh
config.h		config.h
enable_timer.h		enable_timer.h
fixed12_math.h		fixed12_math.h
fixed12_math_test.c		fixed12_math_test.c
fixed8_math.h		fixed8_math.h
load.asm		load.asm
loader.bas		loader.bas
make_c_data_set.py		make_c_data_set.py
print_epochs_no.c		print_epochs_no.c
readme_tobosfp.txt		readme_tobosfp.txt
real.h		real.h
sin2com.sh		sin2com.sh
test.c		test.c
test_samples.h		test_samples.h
times.txt		times.txt
train.bas		train.bas
train.c		train.c
train_commandore.c		train_commandore.c
train_f16.c		train_f16.c
train_float16.c		train_float16.c
train_no_buffer.bas		train_no_buffer.bas
train_samples.h		train_samples.h

artyom-beilis/zx_spectrum_deep_learning