minor mods

Author: yjchoe

Chapter1_Tensors/Statistics.ipynb

@@ -226,7 +226,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q3. Return the 3 smallestt elements and their indices along the second dimension."
+    "Q3. Return the 3 smallest elements and their indices along the second dimension."
    ]
   },
   {
@@ -473,7 +473,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q9. Compute the variance of X along the second axis without the Bessel's correction."
+    "Q9. Compute the variance of X along the second axis without Bessel's correction."
    ]
   },
   {
@@ -509,7 +509,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q10. Compute the std of X along the second axis with the Bessel's correction."
+    "Q10. Compute the std of X along the second axis with Bessel's correction."
    ]
   },
   {
@@ -568,7 +568,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,

Chapter1_Tensors/Statistics_solution.ipynb

@@ -217,7 +217,7 @@
     "    [[1, 2, 2, 4, 4],\n",
     "     [5, 8, 7, 8, 5]])\n",
     "\n",
-    "top3, indices = X.topk(3)\n",
+    "top3, indices = X.topk(3, dim=1)\n",
     "print(\"• the 3 largest values=\", top3)\n",
     "print(\"• the first indices=\", indices)"
    ]
@@ -226,7 +226,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q3. Return the 3 smallestt elements and their indices along the second dimension."
+    "Q3. Return the 3 smallest elements and their indices along the second dimension."
    ]
   },
   {
@@ -466,7 +466,7 @@
     "X = torch.Tensor([[1,1,0,0,3],\n",
     "                  [3,4,1,1,1]])\n",
     "\n",
-    "modes, indices = X.mode()\n",
+    "modes, indices = X.mode(dim=1)\n",
     "print(\"• modes=\", modes)\n",
     "print(\"• the last indices=\", indices)\n",
     "\n",
@@ -477,7 +477,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q9. Compute the variance of X along the second axis without the Bessel's correction."
+    "Q9. Compute the variance of X along the second axis without Bessel's correction."
    ]
   },
   {
@@ -517,7 +517,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Q10. Compute the std of X along the second axis with the Bessel's correction."
+    "Q10. Compute the std of X along the second axis with Bessel's correction."
    ]
   },
   {
@@ -579,7 +579,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,