Download Udemy - PyTorch The Complete Guide 2022 Torrent

Torrent Contents Size: 3.8 GB

Udemy - PyTorch The Complete Guide 2022

▼ show more 76 files

1. Course structure.mp4	MP4	9.5 MB
1. Introduction to Recurrent Neural Network.mp4	MP4	59.4 MB
1. Introduction.mp4	MP4	172.3 MB
1. More Explanation about CNN.mp4	MP4	42 MB
1. Thank you.mp4	MP4	23.3 MB
1. What is Reinforcement Learning and Why we need Reinforcement Learning.mp4	MP4	38.7 MB
1.1 GAN.ipynb	IPYNB	4.3 KB
1.1 Introduction_to_Recurrent_Neural_Network.ipynb	IPYNB	1.9 KB
10. Keras DQN.mp4	MP4	35.4 MB
10. Language Model Implementation Part 1 (Explanation).mp4	MP4	89.7 MB
10. Project Time MNIST Implementation Part 6.mp4	MP4	145 MB
10.1 Language_Model (1).ipynb	IPYNB	7.2 KB
10.1 Pytorch_CNN (2).ipynb	IPYNB	406.5 KB
11. Cart Pole Implementation Part 1.mp4	MP4	38.1 MB
11. Language Model Implementation Part 2 with detailed Explanation.mp4	MP4	73.9 MB
11.1 Language_Model (2).ipynb	IPYNB	9.1 KB
12. Cart Pole Implementation Part 2.mp4	MP4	96.2 MB
12. Language Model Implementation Part 3 with detailed Explanation.mp4	MP4	66.7 MB
12.1 Language_Model (3).ipynb	IPYNB	11.1 KB
13. Cart Pole Implementation Part 3.mp4	MP4	40 MB
13. Language Model Implementation final Part.mp4	MP4	64.4 MB
13.1 Language_Model (4).ipynb	IPYNB	30.2 KB
14. Cart Pole Implementation Final Part.mp4	MP4	12.8 MB
14. Language Model Implementation final Part (Explaination).mp4	MP4	44.9 MB
14.1 Cart_Pole.py	PY	1.6 KB
14.1 Language_Model (5).ipynb	IPYNB	31.7 KB
15. Developing hill climbing part 1.mp4	MP4	18.6 MB
16. Developing hill climbing part 2.mp4	MP4	92.8 MB
17. Developing hill climbing part 3.mp4	MP4	53.3 MB
18. Developing hill climbing final Part.mp4	MP4	49.2 MB
18.1 hill_climbing.py	PY	2.9 KB
2. GAN Project Importing libraries and datas.mp4	MP4	68.9 MB
2. How To Make The Most Out Of This Course.mp4	MP4	8.2 MB
2. Introduction to Reward.mp4	MP4	64.8 MB
2. Recurrent Neural Network Implementation Part 1.mp4	MP4	91.3 MB
2. What is Convolution Neural Network.mp4	MP4	44.2 MB
2.1 GAN (1).ipynb	IPYNB	7.1 KB
2.1 Introduction_to_Recurrent_Neural_Network (1).ipynb	IPYNB	60.5 KB
3. GAN Project Generator Construction.mp4	MP4	99 MB
3. Important note on tool.mp4	MP4	5.1 MB
3. Introduction to the agent, environment, action and observation.mp4	MP4	101 MB
3. Recurrent Neural Network Part 1 Explanation.mp4	MP4	157.8 MB
3. what is convolution layer.mp4	MP4	16.2 MB
3.1 GAN (3).ipynb	IPYNB	12.7 KB
3.1 Introduction_to_Recurrent_Neural_Network (2).ipynb	IPYNB	8.8 KB
4. GAN Project Discriminator Construction.mp4	MP4	110.9 MB
4. How to set up the environment.mp4	MP4	34.8 MB
4. Recurrent Neural Network Implementation Part 2.mp4	MP4	91.1 MB
4. What is neuron.mp4	MP4	7.2 MB
4. what is pooling layer.mp4	MP4	20.9 MB
4.1 GAN (4).ipynb	IPYNB	17.3 KB
5. GAN Project Defining optimizer and loss.mp4	MP4	33.3 MB
5. Introduction to OpenAI Gym.mp4	MP4	27.6 MB
5. Project Time MNIST Implementation Part 1 Importing libraries and data.mp4	MP4	148.7 MB
5. Recurrent Neural Network Part 2 Explanation.mp4	MP4	68.7 MB
5. What is Multilayer Neural Network.mp4	MP4	8.9 MB
5.1 GAN (5).ipynb	IPYNB	18.1 KB
5.1 Introduction_to_Recurrent_Neural_Network (4).ipynb	IPYNB	17.9 KB
5.1 Pytorch_CNN.ipynb	IPYNB	65 KB
6. GAN Project Fully Connected Network and results.mp4	MP4	130.3 MB
6. Introduction to Long short term Memory.mp4	MP4	63.6 MB
6. Introduction to Robot Control and three laws of Robotics.mp4	MP4	54.9 MB
6. Project Time MNIST Implementation Part 2.mp4	MP4	72.1 MB
6. Simple Neural Network with Pytorch Implementation Part 1.mp4	MP4	159 MB
6.1 Copy_of_Pytorch_CNN.ipynb	IPYNB	250.5 KB
6.1 GAN (7).ipynb	IPYNB	28.9 KB
6.1 Introduction_to_Long_Short_term_memory_Networks.ipynb	IPYNB	2.5 KB
6.2 Pytorch_introduction.ipynb	IPYNB	7.8 KB
7. LSTMs Implementation Part 1.mp4	MP4	52.6 MB
7. Project Time MNIST Implementation Part 3.mp4	MP4	82.8 MB
7. Short robotics timeline and Automatic control.mp4	MP4	69.9 MB
7. Simple Neural Network with Pytorch Implementation Part 2.mp4	MP4	148.9 MB
7.1 Introduction_to_Long_Short_term_memory_Networks (1).ipynb	IPYNB	7.3 KB
7.1 Pytorch_introduction (1).ipynb	IPYNB	18.2 KB
8. LSTMs Implementation Part 1 Explanation and final implementation.mp4	MP4	88 MB
8. Project Time MNIST Implementation Part 4.mp4	MP4	51.4 MB
8. Reinforcement learning basics and Agent-environment interface.mp4	MP4	72.7 MB
8. Simple Neural Network with Pytorch Implementation Part 3.mp4	MP4	70.3 MB
8.1 Copy_of_Pytorch_CNN (1).ipynb	IPYNB	209.5 KB
8.1 Introduction_to_Long_Short_term_memory_Networks (2).ipynb	IPYNB	10.3 KB
8.1 Pytorch_introduction (2).ipynb	IPYNB	28.8 KB
9. Language Model Implementation Part 1.mp4	MP4	93.2 MB
9. Project Time MNIST Implementation Part 5.mp4	MP4	131.5 MB
9. Reinforcement Learning Algorithm.mp4	MP4	90.2 MB
9.1 Language_Model.ipynb	IPYNB	5.2 KB
9.1 Pytorch_CNN (1).ipynb	IPYNB	355.1 KB
9.2 warandpeace.txt	TXT	3.2 MB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B
test.csv	CSV	363.5 KB
train.csv	CSV	1.8 MB

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Udemy - PyTorch The Complete Guide 2022

Torrent Contents Size: 3.8 GB

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