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Joerg Marks 2 years ago
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  1. 1
      notebooks/03_ml_basics_minimizer.ipynb
  2. 13
      notebooks/03_ml_basics_minimizer_methods.ipynb
  3. 167
      notebooks/03_ml_basics_simple_neural_network.ipynb
  4. 1085
      notebooks/03_ml_basics_simple_neural_network_exercise_solution.ipynb
  5. BIN
      slides/03_ml_intro.odp
  6. BIN
      slides/03_ml_intro.pdf

1
notebooks/03_ml_basics_minimizer.ipynb

@ -15,7 +15,6 @@
"metadata": {},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from scipy.optimize import minimize\n",

13
notebooks/03_ml_basics_minimizer_methods.ipynb

@ -1,16 +1,13 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "8ab45695",
"cell_type": "markdown",
"id": "0b7d591a",
"metadata": {},
"outputs": [],
"source": [
"#\n",
"# An example of the minimzer usage in tensor flow\n",
"# the loss function is plotted and the result in terms of a line\n",
"#"
"\n",
" An example of the minimzer usage in tensorflow\n",
" the loss function is plotted and the result in terms of a line\n"
]
},
{

167
notebooks/03_ml_basics_simple_neural_network.ipynb
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1085
notebooks/03_ml_basics_simple_neural_network_exercise_solution.ipynb
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slides/03_ml_intro.odp

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slides/03_ml_intro.pdf

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