title changes

Author: rasbt

Diff for: ch17/ch17_optional_DCGAN.ipynb

@@ -15,7 +15,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Chapter 17: Synthesizing New Data with Generative Adversarial Networks (Optional, DCGAN)"
+    "# Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Optional, DCGAN)"
    ]
   },
   {
@@ -1002,7 +1002,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,

Diff for: ch17/ch17_optional_DCGAN.py

@@ -15,7 +15,7 @@
 # 
 # Code License: [MIT License](https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-# # Chapter 17: Generative Adversarial Networks (Optional, DCGAN)
+# # Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Optional, DCGAN)
 
 # Note that the optional watermark extension is a small IPython notebook plugin that I developed to make the code reproducible. You can just skip the following line(s).
 

Diff for: ch17/ch17_part1.ipynb

@@ -15,7 +15,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Chapter 17: Synthesizing New Data with Generative Adversarial Networks (Part 1/2)"
+    "# Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Part 1/2)"
    ]
   },
   {
@@ -825,13 +825,7 @@
       "Epoch 088 | ET 49.63 min | Avg Losses >> G/D 0.9061/1.3163 [D-Real: 0.6606 D-Fake: 0.6557]\n",
       "Epoch 089 | ET 50.19 min | Avg Losses >> G/D 0.9138/1.3179 [D-Real: 0.6608 D-Fake: 0.6571]\n",
       "Epoch 090 | ET 50.75 min | Avg Losses >> G/D 0.9168/1.3117 [D-Real: 0.6577 D-Fake: 0.6540]\n",
-      "Epoch 091 | ET 51.32 min | Avg Losses >> G/D 0.9136/1.3244 [D-Real: 0.6627 D-Fake: 0.6617]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Epoch 091 | ET 51.32 min | Avg Losses >> G/D 0.9136/1.3244 [D-Real: 0.6627 D-Fake: 0.6617]\n",
       "Epoch 092 | ET 51.89 min | Avg Losses >> G/D 0.9016/1.3206 [D-Real: 0.6622 D-Fake: 0.6584]\n",
       "Epoch 093 | ET 52.46 min | Avg Losses >> G/D 0.9014/1.3204 [D-Real: 0.6644 D-Fake: 0.6560]\n",
       "Epoch 094 | ET 53.01 min | Avg Losses >> G/D 0.9268/1.3179 [D-Real: 0.6574 D-Fake: 0.6605]\n",
@@ -1180,7 +1174,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,

Diff for: ch17/ch17_part1.py

@@ -15,7 +15,7 @@
 # 
 # Code License: [MIT License](https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-# # Chapter 17: Generative Adversarial Networks (Part 1/2)
+# # Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Part 1/2)
 
 # Note that the optional watermark extension is a small IPython notebook plugin that I developed to make the code reproducible. You can just skip the following line(s).
 

Diff for: ch17/ch17_part2.ipynb

@@ -15,7 +15,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Chapter 17: Synthesizing New Data with Generative Adversarial Networks (Part 2/2)"
+    "# Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Part 2/2)"
    ]
   },
   {
@@ -1142,7 +1142,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,

Diff for: ch17/ch17_part2.py

@@ -15,7 +15,7 @@
 # 
 # Code License: [MIT License](https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-# # Chapter 17: Generative Adversarial Networks (Part 2/2)
+# # Chapter 17 - Generative Adversarial Networks for Synthesizing New Data (Part 2/2)
 
 # Note that the optional watermark extension is a small IPython notebook plugin that I developed to make the code reproducible. You can just skip the following line(s).
 

Diff for: ch18/cartpole/main.py

@@ -8,9 +8,9 @@
 #
 # Code License: MIT License (https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-############################################################################
-# Chapter 18: Reinforcement Learning
-############################################################################
+#################################################################################
+# Chapter 18 - Reinforcement Learning for Decision Making in Complex Environments
+#################################################################################
 
 # Script: carpole/main.py
 

Diff for: ch18/ch18.ipynb

@@ -15,7 +15,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Chapter 18: Using Reinforcement Learning for Decision Making in Complex Environments"
+    "# Chapter 18 - Reinforcement Learning for Decision Making in Complex Environments"
    ]
   },
   {

Diff for: ch18/gridworld/agent.py

@@ -8,9 +8,9 @@
 #
 # Code License: MIT License (https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-############################################################################
-# Chapter 18: Reinforcement Learning
-############################################################################
+#################################################################################
+# Chapter 18 - Reinforcement Learning for Decision Making in Complex Environments
+#################################################################################
 
 # Script: agent.py
 

Diff for: ch18/gridworld/gridworld_env.py

@@ -8,9 +8,9 @@
 #
 # Code License: MIT License (https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-############################################################################
-# Chapter 18: Reinforcement Learning
-############################################################################
+#################################################################################
+# Chapter 18 - Reinforcement Learning for Decision Making in Complex Environments
+#################################################################################
 
 # Script: gridworld_env.py
 

Diff for: ch18/gridworld/qlearning.py

@@ -8,9 +8,9 @@
 #
 # Code License: MIT License (https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)
 
-############################################################################
-# Chapter 18: Reinforcement Learning
-############################################################################
+#################################################################################
+# Chapter 18 - Reinforcement Learning for Decision Making in Complex Environments
+#################################################################################
 
 # Script: qlearning.py