Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Commit fdac4c1

Browse files
committed
modifies gramatical errors in learning notebook
1 parent 5c730de commit fdac4c1

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

learning.ipynb

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -38,7 +38,7 @@
3838
"\n",
3939
"In Supervised Learning the agent observeses some example input-output pairs and learns a function that maps from input to output.\n",
4040
"\n",
41-
"**Example**: Let's think of an agent to classify images containing cats or dogs. If we provide an image containing a cat or a dog, this agent should output a string \"cat\" or \"dog\" for that particular image. To teach this agent, we will give a lot of input-output pairs like {cat image-\"cat\"}, {dog image-\"dog\"} to the aggent. The agent then learns a function that maps from an input image to one of those strings.\n",
41+
"**Example**: Let's think of an agent to classify images containing cats or dogs. If we provide an image containing a cat or a dog, this agent should output a string \"cat\" or \"dog\" for that particular image. To teach this agent, we will give a lot of input-output pairs like {cat image-\"cat\"}, {dog image-\"dog\"} to the agent. The agent then learns a function that maps from an input image to one of those strings.\n",
4242
"\n",
4343
"* **Unsupervised Learning**:\n",
4444
"\n",
@@ -48,7 +48,7 @@
4848
"\n",
4949
"* **Reinforcement Learning**:\n",
5050
"\n",
51-
"In Reinforcement Learning the agent from a series of reinforcements—rewards or punishments.\n",
51+
"In Reinforcement Learning the agent learns from a series of reinforcements—rewards or punishments.\n",
5252
"\n",
5353
"**Example**: Let's talk about an agent to play the popular Atari game—[Pong](http://www.ponggame.org). We will reward a point for every correct move and deduct a point for every wrong move from the agent. Eventually, the agent will figure out its actions prior to reinforcement were most responsible for it."
5454
]

0 commit comments

Comments
 (0)