MichalDanielDobrzanski · BautistaAcosta · Sep 10, 2024 · Sep 12, 2024 · Sep 12, 2024
diff --git a/README.md b/README.md
@@ -1,16 +1,21 @@
-## Overview
+# Redes neuronales y aprendiendo en lo profundo 🐢
 
-### neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
+![https://img.shields.io/badge/license-MIT-green](https://img.shields.io/badge/license-MIT-green)
 
-These scrips are updated ones from the **neuralnetworksanddeeplearning.com** gitHub repository in order to work with Python 3.5.2
 
-The testing file (**test.py**) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. *train and evaluate*) them.
+## Descripción
+En este repositorio vamos a aprender sobre redes neuronales, basandonos en el libro de Michael Nielsen [neuralnetworksanddeeplearning.com](http://neuralnetworksanddeeplearning.com/). Haremos videos explicativos sobre los diferentes temas basandonos en dichos capítulos del libro y mostraremos el funcionamiento de los códigos.
 
-## Just type at shell: **python3.5 test.py**
-
-In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book.
-
-### License
-Disributed under MIT License. [Link](LICENSE.md).
+## Capítulos 
+1. **Capítulo 1**: "Usando redes neuronales para reconocer números escritos a mano". Veremos como una red neuronal puede aprender a reconocer dígitos escritos a mano, utilizando como ejemplo el conjunto de datos MNIST. Introduciremos conceptos básicos sobre las redes neuronales.
+2. **Capítulo 2**: "Como funciona el algoritmo de backpropagation". Analizaremos más en profundidad, y utilizando matematicas la forma de aprender de las redes.
+3. **Capítulo 3**: "Mejorando la forma en que las redes neuronales aprenden". Veremos algunas formas de mejorar la forma de aprendizaje de las redes neuronales.
+4. **Capítulo 4**: "Una prueba gráfica que las redes neuronales pueden computar cualquier función". Estudiaremos y veremos de forma visual el teorema de Wierstrass.
+5. **Capítulo 5**: "¿Porque las redes profundas son dificiles de entrenar?". Nos adentraremos en el mundo de las redes profundas, y por qué son díficiles de entrenar comparado con redes nueronales no profundas.
+6. **Capítulo 6**: "Aprendizaje profundo". Mencionaremos brevemente el aprendizaje profundo de las redes neuronales neuronales.
 
+## Reconocimientos 
+Este proyecto construye sobre un [fork de Michael Daniel Dobrzanski](https://github.com/MichalDanielDobrzanski/DeepLearningPython) del [proyecto original de Michael Nealsen](https://github.com/mnielsen/neural-networks-and-deep-learning).
 
+## Licencia
+Distribuido bajo una licencia MIT. [Link](LICENSE.md).
diff --git a/e b/e
@@ -0,0 +1,132 @@
+[33mcommit 2da41b6dd19dafae92db1facbc4ed19738e80551[m[33m ([m[1;36mHEAD[m[33m -> [m[1;32mmaster[m[33m, [m[1;31morigin/master[m[33m, [m[1;31morigin/HEAD[m[33m)[m
+Author: michaldobrzanski <dobrzanski.michal.daniel@gmail.com>
+Date:   Mon Nov 27 14:07:08 2023 +0100
+
+    added MIT license
+
+[33mcommit 2eae26e0bdcef314dcb18f13946a94320fb28a12[m
+Merge: ea229ac 11cd4c1
+Author: Michał Dobrzanski <dobrzanski.michal.daniel@gmail.com>
+Date:   Wed Feb 24 08:57:56 2021 +0100
+
+    Merge pull request #32 from hamolicious/patch-1
+
+    Update network.py
+
+[33mcommit 11cd4c1643c39ada6a97b93dc2c522a3b59095ac[m
+Author: Hamolicious <56944714+hamolicious@users.noreply.github.com>
+Date:   Fri Oct 23 13:12:15 2020 +0100
+
+    Update network.py
+
+     - Removed semicolon line:73
+
+[33mcommit ea229ac6234b7f3373f351f0b18616ca47edb8a1[m
+Merge: a8da42f 998e51b
+Author: Michał Dobrzanski <dobrzanski.michal.daniel@gmail.com>
+Date:   Thu Apr 19 07:36:33 2018 +0200
+
+    Merge pull request #11 from dgcampbe/patch-1
+
+    Small update for Python 3
+
+[33mcommit 998e51b741e95c2e6fd18cdba7df0c9b94e7957f[m
+Author: Dane <dgcampbe@users.noreply.github.com>
+Date:   Fri Mar 2 17:04:26 2018 -0500
+
+    Add str() to variables being printed
+
+    I realized that the variables weren't strings despite having "%s" (I thought the "s" meant string) in Python 2. That is what you get for only dealing with Python 3. :P
+
+[33mcommit ce2c044fb2b85371d65b4c71ab08b3bed9ba8067[m
+Author: Dane <dgcampbe@users.noreply.github.com>
+Date:   Fri Mar 2 01:42:31 2018 -0500
+
+    Small update for Python 3
+
+    Changed two print statements to print functions to be compatible with Python 3 instead of Python 2.
+
+[33mcommit a8da42fef60e9de977e3ad382c0804a1fe58cbc5[m
+Merge: f48defe 2a26d29
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Mon Aug 28 11:01:48 2017 +0200
+
+    Merge pull request #2 from pa-m/master
+
+    Avoid ImportError: cannot import name 'downsample'. New naming convention has been added in Theano 0.9 => use pool_2d instead
+
+[33mcommit 2a26d2937c2412c5ece5d26587a7351dcb226b67[m
+Author: pa-m <pascal.masschelier@gmail.com>
+Date:   Tue Apr 4 19:39:27 2017 +0200
+
+    Avoid ImportError: cannot import name 'downsample'
+    Since a change in theano 0.9 downsample.max_pool_2d has to be replaced with pool.pool_2d.
+
+[33mcommit f48defe06bfa1127fbda4f054b27d1e23c17c725[m
+Merge: e99416e 3ef0f0b
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Thu Feb 9 10:31:15 2017 +0100
+
+    Merge pull request #1 from anandman/master
+
+    updated mnist_average_darkness.py for Python 3.5.2 - further improvements
+
+[33mcommit 3ef0f0b575e0a6a96508fbb9ae6c51be2def8672[m
+Author: anand m <anand@resistance.net>
+Date:   Sat Feb 4 13:58:16 2017 -0800
+
+    updated for Python 3.5.2
+
+[33mcommit e99416e6ad59e602d0dc3709a445c3a4efad259f[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Sun Oct 23 12:00:59 2016 +0200
+
+    Update README.md
+
+[33mcommit a35f06c85e2903c81e3f9394ad7e5f24443e40ae[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Sun Oct 23 11:57:30 2016 +0200
+
+    Working on network3.py - convolutional NN examples added
+
+[33mcommit 664aee31f815956aaef96a533521d1eddd5fb283[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Sun Sep 25 16:56:45 2016 +0200
+
+    Working Theano with CUDA7.5 Support at Ubuntu 16.04
+
+[33mcommit f403c099829ee70700b60569a546ab7e9d6793b9[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Wed Sep 14 19:46:01 2016 +0200
+
+    Working on network3.py and Theano with CUDA
+
+[33mcommit 092007f9158a4a3ff56a08d03250a19ae8953753[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Tue Sep 13 11:51:49 2016 +0200
+
+    Chapter 4 - vanishing gradient problem in a deep networks
+
+[33mcommit 7283525363f379b99779c96b6cc82b25626c2249[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Fri Sep 9 15:28:59 2016 +0200
+
+    Early stopping implemented at network2.py
+
+[33mcommit 021657efa2f874453ebf94ca1598b38add9b7dc5[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Sat Jul 30 18:08:54 2016 +0200
+
+    Updated readme + 2nd example from 3rd chapter
+
+[33mcommit 988965a43e7b002c5bc03ecb675e9c0f15ba9072[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Fri Jul 29 20:23:55 2016 +0200
+
+    Create README.md
+
+[33mcommit 0edab8e2501621752d6dab41bf193a380eb2819b[m
+Author: Michał Dobrzański <dobrzanski.michal.daniel@gmail.com>
+Date:   Fri Jul 29 20:06:48 2016 +0200
+
+    Initial files