update flux example

Author: Christopher Doris

examples/flux.ipynb

@@ -3,18 +3,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "assisted-police",
+   "id": "3af41f01",
    "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np, matplotlib.pyplot as plt\n",
-    "from juliacall import Main as jl"
+    "from juliacall import Main as jl, convert as jlconvert"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "minus-classroom",
+   "id": "b04d1a1f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "lovely-reception",
+   "id": "0e8c14ae",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,22 +44,22 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "marked-monitoring",
+   "id": "acec7450",
    "metadata": {},
    "outputs": [],
    "source": [
     "jl.Flux.train_b(\n",
     "    loss,\n",
     "    jl.Flux.params(model),\n",
-    "    jl.Vector[jl.Tuple]([batch(100) for _ in range(2000)]),\n",
+    "    jlconvert(jl.Vector[jl.Tuple], [batch(100) for _ in range(2000)]),\n",
     "    jl.ADAM(0.01),\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "exciting-angola",
+   "id": "85331980",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,11 +70,19 @@
     "plt.legend()\n",
     "print(\"loss =\", loss(x,y))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7bbc27c9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -88,7 +96,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.10"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,