anton/mlpractical
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Minor fixes in the notebooks

Browse Source
This commit is contained in:
AntreasAntoniou 2017-10-02 01:24:09 +01:00
parent a47ab50984
commit 197b11ba04
1 changed files with 16 additions and 83 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

99
notebooks/02_Single_layer_models.ipynb
View File

@ -17,7 +17,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -74,7 +74,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -92,17 +92,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.88 ms ± 26.5 µs per loop (mean ± std. dev. of 3 runs, 100 loops each)\n"
]
}
],
"source": [ "source": [
"%%timeit -n 100 -r 3\n", "%%timeit -n 100 -r 3\n",
"c = np.empty(size)\n", "c = np.empty(size)\n",
@ -119,17 +111,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.17 µs ± 1.87 µs per loop (mean ± std. dev. of 3 runs, 100 loops each)\n"
]
}
],
"source": [ "source": [
"%%timeit -n 100 -r 3\n", "%%timeit -n 100 -r 3\n",
"c = a + b" "c = a + b"
@ -168,7 +152,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -199,22 +183,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"ename": "NotImplementedError",
"evalue": "Delete this raise command and write your code here instead.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNotImplementedError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-7-0f5e9427204b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mtrue_outputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m6.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m6.\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m17.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m50.\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mallclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfprop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweights\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbiases\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrue_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Wrong outputs computed.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<ipython-input-6-fb37a1b342aa>\u001b[0m in \u001b[0;36mfprop\u001b[0;34m(inputs, weights, biases)\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mArray\u001b[0m \u001b[0mof\u001b[0m \u001b[0mlayer\u001b[0m \u001b[0moutputs\u001b[0m \u001b[0mof\u001b[0m \u001b[0mshape\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput_dim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \"\"\"\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Delete this raise command and write your code here instead.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNotImplementedError\u001b[0m: Delete this raise command and write your code here instead."
]
}
],
"source": [ "source": [
"inputs = np.array([[0., -1., 2.], [-6., 3., 1.]])\n", "inputs = np.array([[0., -1., 2.], [-6., 3., 1.]])\n",
"weights = np.array([[2., -3., -1.], [-5., 7., 2.]])\n", "weights = np.array([[2., -3., -1.], [-5., 7., 2.]])\n",
@ -242,25 +213,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 6. 6. 6.]\n",
" [ 24. 24. 24.]\n",
" [ 42. 42. 42.]]\n",
"[[ 18. 24. 30.]\n",
" [ 18. 24. 30.]\n",
" [ 18. 24. 30.]]\n",
"[ 0.8 2.6 4.4]\n",
"[ 2.4 3. 3.6]\n",
"0.2\n"
]
}
],
"source": [ "source": [
"# Initiliase arrays with arbitrary values\n", "# Initiliase arrays with arbitrary values\n",
"A = np.arange(9).reshape((3, 3))\n", "A = np.arange(9).reshape((3, 3))\n",
@ -285,25 +240,9 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0.1 1.2]\n",
" [ 2.1 3.2]\n",
" [ 4.1 5.2]]\n",
"[[-1. 0.]\n",
" [ 2. 3.]\n",
" [ 5. 6.]]\n",
"[[ 0. 0.2]\n",
" [ 0.2 0.6]\n",
" [ 0.4 1. ]]\n"
]
}
],
"source": [ "source": [
"# Initiliase arrays with arbitrary values\n", "# Initiliase arrays with arbitrary values\n",
"A = np.arange(6).reshape((3, 2))\n", "A = np.arange(6).reshape((3, 2))\n",
@ -337,9 +276,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
@ -455,9 +392,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"def error(outputs, targets):\n", "def error(outputs, targets):\n",
@ -556,9 +491,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"def grads_wrt_params(inputs, grads_wrt_outputs):\n", "def grads_wrt_params(inputs, grads_wrt_outputs):\n",