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In this video, the entire process is explained in detail, from basics to the training of Neural Network.
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sir, please tell me how can I access your folder on cloudxlab,
i dont see it in my login in files tab
Hi,
You will find all the respective files from our GitHub repository:
https://github.com/cloudxlab/deep-learning-self-paced-tf2
Thanks.
1 What is Reinforcement Learning?
2 What is the objective of this project?
3 WorkFlow
4 Step 1 - Import the Modules
5 Importing the Modules
6 Step 2 - Understanding OpenAI Gym
7 Introduction to OpenAI Gym
8 Introduction to OpenAI gym environment
9 Understanding CartPole game of OpenAI gym
10 Let's make the agent play the game!
11 Step 3 - Hard-code simple Policy
12 A simple hard-coded policy
13 Step 4 - Neural Network for the Game
14 Building the Neural Network
15 Game with untrained neural network
16 Training the Neural Network
17 Step 5 - Understanding Policy Gradients
18 Policy Gradients
19 Credit Assignment Problem
20 Step 6 - Implementing Policy Gradients
21 Defining play_one_step function
22 Defining play_multiple_episodes function
23 Defining the discount function and normalizing function
24 Training with Policy Gradients
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sir, please tell me how can I access your folder on cloudxlab,
i dont see it in my login in files tab
Upvote ShareHi,
You will find all the respective files from our GitHub repository:
https://github.com/cloudxlab/deep-learning-self-paced-tf2
Thanks.
Upvote Share