diff --git a/Perceptron.py b/Perceptron.py index e3121d5..aaf0958 100755 --- a/Perceptron.py +++ b/Perceptron.py @@ -2,8 +2,8 @@ import numpy as np import random -cicli = 59990 -hidden_layer = 1 +cicli = 1000000 +hidden_layer = 2 epsilon = 0.01 def fdt(x,deriv=False): @@ -19,68 +19,72 @@ def error_func(output): return 0.5*e #input data -X = np.array([[0,1], # primo input - [0,1], - [1,1], - [1,1]]) +X = np.array([[0,0,1], #input, 00 01 10 11 + [0,1,1], + [1,0,1], + [1,1,1]]) #output data -Y = np.array([[0], - [0], +Y = np.array([[0], #xi, output voluto 0 1 1 0 [1], - [1]]) + [1], + [0]]) -np.random.seed(1) #per avere sempre lo stesso +#np.random.seed(1) #per avere sempre lo stesso #sinapsi tra input e Perceptron di output -syn0 = 0.1*(2*np.random.random((2,hidden_layer)) -1) - +syn0 = 0.1*(2*np.random.random((3,hidden_layer)) -1) #Sinapsi tra input e hidden layer #print(syn0) #2x1 +syn1 = 0.1*(2*np.random.random((hidden_layer,1)) -1) #Sinapsi tra hidden layer e Perceptron di output # fase forward l0 = X -l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x4 4 esempi, 4 neuroni di output +l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x2 4 esempi, 2 neuroni di output +l2 = fdt(np.dot(l1,syn1)) #output della rete (per ogni esempio) for i in range(cicli): - print(str(int(100*i/cicli))+"---------------------------------------") #% sul numero totale di cicli - # fase forward + #print(str(int(100*i/cicli))+"---------------------------------------") #% sul numero totale di cicli - old_error = error_func(l1) + old_error = error_func(l2) - #fase backward + #FASE BACKWARD #calcolo delta_nu - delta_nu = Y - l1 + delta_nu = Y - l2 - #print(syn0[:,0]) sum = 0 - for nu in range(len(X)): #ciclo tra gli esempi - sum += epsilon*(delta_nu[nu]*fdt(np.dot(X[nu],syn0),True))*X[nu] + for nu in range(len(X)): #ciclo tra gli esempi, batch + sum += epsilon*(delta_nu[nu]*fdt(np.dot(l1[nu],syn1),True))*l1[nu] #print(sum) - syn0[:,0] += sum + syn1[:,0] += sum + for j in range(hidden_layer): #loop tra i neuroni hidden + sum=0 + for nu in range(len(X)): #loop tra gli esempi + sum += epsilon*delta_nu[nu]*fdt(np.dot(l1[nu],syn1),True)*syn1[j]*fdt(np.dot(X[nu],syn0[:,j]),True) + syn0[:,j] += sum + + + #fase forward l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x4 4 esempi, 4 neuroni di output + l2 = fdt(np.dot(l1,syn1)) #output della rete (per ogni esempio) - current_error = error_func(l1) - print(old_error - current_error) + current_error = error_func(l2) - if (np.linalg.norm(sum) < 10**-8): - print("Very low variation in weight-space - exiting") - print("delta_w :"+str(np.linalg.norm(sum))) - break - if (error_func(l1) < 0.001): +# if (np.linalg.norm(sum) < 10**-8): +# print("Very low variation in weight-space - exiting") +# print("delta_w :"+str(np.linalg.norm(sum))) +# break + if (error_func(l2) < 0.001): print("Very low error - exiting") break - if (abs(current_error - old_error) < 10**-8): - print("Very low error variation - exiting") - break - - -print("Error: "+str(error_func(l1))) -for i in range(len(np.transpose(l1))): - print(np.transpose(l1)[i]) -#for i in range(cicli): -#l1 = fdt(np.dot(l0, syn0)) -#print(l1) -#l2 = fdt(np.dot(l1, syn1)) -#print(l2) +# if (abs(current_error - old_error) < 10**-8): +# print("Very low error variation - exiting") +# break + if(i % 10000) == 0: # stampo errore ogni 10k + for i in range(len(np.transpose(l2))): + print(np.transpose(l2)[i]) + print(str(int(100*i/cicli))+"-------"+str(current_error)) +print("Error: "+str(error_func(l2))) +for i in range(len(np.transpose(l2))): + print(np.transpose(l2)[i]) diff --git a/Perceptron.spec b/Perceptron.spec new file mode 100644 index 0000000..54950f7 --- /dev/null +++ b/Perceptron.spec @@ -0,0 +1,40 @@ +# -*- mode: python ; coding: utf-8 -*- + + +block_cipher = None + + +a = Analysis(['Perceptron.py'], + pathex=[], + binaries=[], + datas=[], + hiddenimports=[], + hookspath=[], + hooksconfig={}, + runtime_hooks=[], + excludes=[], + win_no_prefer_redirects=False, + win_private_assemblies=False, + cipher=block_cipher, + noarchive=False) +pyz = PYZ(a.pure, a.zipped_data, + cipher=block_cipher) + +exe = EXE(pyz, + a.scripts, + a.binaries, + a.zipfiles, + a.datas, + [], + name='Perceptron', + debug=False, + bootloader_ignore_signals=False, + strip=False, + upx=True, + upx_exclude=[], + runtime_tmpdir=None, + console=True, + disable_windowed_traceback=False, + target_arch=None, + codesign_identity=None, + entitlements_file=None ) diff --git a/__pycache__/Perceptron.cpython-310.pyc b/__pycache__/Perceptron.cpython-310.pyc new file mode 100644 index 0000000..506faae Binary files /dev/null and b/__pycache__/Perceptron.cpython-310.pyc differ diff --git a/build/Perceptron/Analysis-00.toc b/build/Perceptron/Analysis-00.toc new file mode 100644 index 0000000..4880d97 --- /dev/null +++ b/build/Perceptron/Analysis-00.toc @@ -0,0 +1,1013 @@ +(['/home/marco/gitclones/Perceptron/Perceptron.py'], + ['/home/marco/gitclones/Perceptron'], + ['codecs'], + 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100644 index 0000000..91a4514 Binary files /dev/null and b/build/Perceptron/base_library.zip differ diff --git a/build/Perceptron/localpycos/struct.pyo b/build/Perceptron/localpycos/struct.pyo new file mode 100644 index 0000000..b973395 Binary files /dev/null and b/build/Perceptron/localpycos/struct.pyo differ diff --git a/build/Perceptron/warn-Perceptron.txt b/build/Perceptron/warn-Perceptron.txt new file mode 100644 index 0000000..8a3cf9c --- /dev/null +++ b/build/Perceptron/warn-Perceptron.txt @@ -0,0 +1,129 @@ + +This file lists modules PyInstaller was not able to find. This does not +necessarily mean this module is required for running you program. Python and +Python 3rd-party packages include a lot of conditional or optional modules. For +example the module 'ntpath' only exists on Windows, whereas the module +'posixpath' only exists on Posix systems. + +Types if import: +* top-level: imported at the top-level - look at these first +* conditional: imported within an if-statement +* delayed: imported from within a function +* optional: imported within a try-except-statement + +IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for + yourself tracking down the missing module. Thanks! + +missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level) +excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level) +missing module named 'typing.io' - imported by importlib.resources (top-level) +missing module named typing_extensions - imported by importlib_metadata._compat (optional) +missing module named vms_lib - imported by platform (delayed, optional) +missing module named 'java.lang' - imported by platform (delayed, optional), xml.sax._exceptions (conditional) +missing module named java - imported by platform (delayed) +missing module named _scproxy - imported by urllib.request (conditional) +missing module named msvcrt - imported by multiprocessing.spawn (delayed, conditional), multiprocessing.popen_spawn_win32 (top-level), getpass (optional), numpy.distutils.mingw32ccompiler (conditional, optional), asyncio.windows_events (top-level), asyncio.windows_utils (top-level), subprocess (optional) +missing module named _winapi - imported by encodings (delayed, conditional, optional), multiprocessing.connection (optional), multiprocessing.spawn (delayed, conditional), multiprocessing.reduction (conditional), multiprocessing.shared_memory (conditional), multiprocessing.heap (conditional), multiprocessing.popen_spawn_win32 (top-level), mimetypes (optional), asyncio.windows_events (top-level), asyncio.windows_utils (top-level), subprocess (optional) +missing module named 'org.python' - imported by pickle (optional), setuptools.sandbox (conditional), xml.sax (delayed, conditional) +missing module named _winreg - imported by platform (delayed, optional), appdirs (delayed, conditional) +missing module named _overlapped - imported by asyncio.windows_events (top-level) +missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level) +missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level) +missing module named asyncio.DefaultEventLoopPolicy - 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