Dive into the world of deep learning 2024 C++,GPT and more
Udemy - Dive into the world of deep learning 2024 C++,GPT and more 2024-2
Responsible | Narodom Narodom.guy |
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Last Update | 11/06/2024 |
Completion Time | 1 hour 59 minutes |
Members | 1 |
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1. Introduction6Lessons ·
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1. Introduction.mp4
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2. Why AI Booming Right Now .mp4
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3. Course Outline.mp4
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4. How A.I Actually Learns .mp4
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5. Supervised vs Unsupervised learning.mp4
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6. Famous Libraries in AI Field.mp4
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2. Google Colab Crash Course5Lessons ·
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1. Lecture 1.mp4
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2. Lecture 2.mp4
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3. Lecture 3.mp4
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4. Lecture 4.mp4
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https://drive.google.com/file/d/1Yb_HlxxFYslgXHYoXmCtysqFvfdtQblQ/view?usp=drive_link
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3. Dive into Python10Lessons · 1 hr 36 min
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2. Python 1.mp4
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3. Python 2.mp4
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4. Python 3.mp4
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5. Python 4.mp4
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6. Python 5.mp4
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7. Python 6.mp4
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8. Python 7.mp4
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9. Python 8.mp4
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10. Python 9.mp4
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11. Python 10.mp4
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4. Deep Dive into Numpy8Lessons ·
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2. Introduction.mp4
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3. Python List Vs NUMPY.mp4
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4. Numpy Lecture 1.mp4
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5. Numpy Lecture 2.mp4
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6. Numpy Lecture 3.mp4
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7. Numpy Lecture 4.mp4
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8. Numpy Lecture 5.mp4
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9. Numpy Lecture 6.mp4
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5. Deep Dive into Pandas6Lessons ·
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2. Pandas Introduction.mp4
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3. Pandas Lecture 1.mp4
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4. Pandas Lecture 2.mp4
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5. Pandas Lecture 3.mp4
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6. Pandas Lecture 4.mp4
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7. Pandas Lecture 5.mp4
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6. Pytorch Basics13Lessons ·
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2. Introduction.mp4
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3. Pytorch 1.mp4
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4. Pytorch 2.mp4
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5. Pytorch 3.mp4
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6. Pytorch 4.mp4
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7. Pytorch 5.mp4
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8. Pytorch 6.mp4
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9. Pytorch 7.mp4
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10. Pytorch 8.mp4
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11. Backpropgation Part 1.mp4
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12. Backpropagation Part 2.mp4
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13. Torch Autograd Part 1.mp4
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14. Torch Autograd Part 2.mp4
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7. ANN (Artificial Neural Network) Your First A.I13Lessons ·
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2. Introduction.mp4
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3. Lecture 1.mp4
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4. Lecture 2.mp4
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5. Lecture 3.mp4
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6. Lecture 4.mp4
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7. Lecture 5.mp4
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8. Lecture 6.mp4
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9. Lecture 7.mp4
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10. Lecture 8.mp4
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11. Lecture 9.mp4
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12. Lecture 10.mp4
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13. Lecture 11.mp4
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14. Predictions !!.mp4
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8. Activation Functions In-DEPTH6Lessons ·
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2. What is Activation Functions .mp4
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3. Sigmoid Activation Function.mp4
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4. TanH.mp4
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5. ReLU Activation.mp4
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6. LeakyReLU Activation.mp4
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7. Softmax Activation.mp4
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9. Loss Functions IN-DEPTH4Lessons · 23 min
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2. Introduction.mp4
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3. Mean Squared Error.mp4
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4. Mean Absolute Error.mp4
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5. Cross Entropy Loss.mp4
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10. CNN (Computer Vision) - Intuition6Lessons ·
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1. Introduction.mp4
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2. Little Code Practical.mp4
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3. How CNN Works.mp4
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4. Pooling.mp4
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5. Padding.mp4
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6. Use Cases of CNN.mp4
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11. CNN Project13Lessons ·
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2. Project Overview.mp4
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3. Datasets Overview.mp4
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4. Dataset Development Part 1.mp4
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5. Dataset Development Part 2.mp4
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6. Model Overview.mp4
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7. Model Development 1.mp4
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8. Model Development 2.mp4
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9. Model Development 3.mp4
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10. Model Development 4.mp4
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11. Model Development 5.mp4
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12. Model Development 6.mp4
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13. Model Development 7.mp4
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15. Model Development 9.mp4
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12. Transfer Learning4Lessons ·
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2. What is Pretrained Models .mp4
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3. Some Famous CNN Models.mp4
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4. What is Transfer Learning.mp4
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5. Transfer Learning Implementation.mp4
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13. Regularization8Lessons ·
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2. Introduction.mp4
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3. L1 and L2 Norm.mp4
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4. L1 and L2 Norm Graph.mp4
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5. L1 and L2 Implementation.mp4
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6. Dropout Intro.mp4
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7. Dropout implementation.mp4
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8. Early Stopping (A Free Lunch).mp4
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9. Early Stopping implementation.mp4
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14. Some Advance Topics5Lessons ·
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2. Batch Normalisation.mp4
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3. Learning Rate Scheduler.mp4
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4. Gradient Cliping.mp4
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6. Torch AMP Part 2.mp4
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7. YAML and INI File Setup.mp4
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15. RNN Intuition5Lessons ·
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1. Introduction.mp4
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2. Maths Behind RNN.mp4
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3. Types of RNN.mp4
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4. RNN Vanishing Gradient Problem.mp4
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5. LSTM.mp4
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16. Stock Prediction A.I11Lessons ·
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2. Lecture 1.mp4
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3. Lecture 2.mp4
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4. Lecture 3.mp4
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5. Lecture 4.mp4
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6. Lecture 5.mp4
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7. Lecture 6.mp4
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8. Lecture 7.mp4
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9. Lecture 8.mp4
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10. Lecture 9.mp4
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11. Lecture 10.mp4
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12. Lecture 11 Predictions !!.mp4
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17. Tweet Sentiment Classifications Via Torch Lightining23Lessons ·
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2. Introduction.mp4
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3. Pytorch vs Pytorch Lightning.mp4
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4. Lecture 1.mp4
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5. Lecture 2.mp4
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6. Lecture 3.mp4
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7. Lecture 4.mp4
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8. Lecture 5.mp4
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9. Lecture 6.mp4
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10. Lecture 7.mp4
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11. Lecture 8.mp4
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12. Lecture 9.mp4
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13. Lecture 10.mp4
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14. Lecture 11.mp4
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15. Lecture 12.mp4
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16. Lecture 13.mp4
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17. Lecture 14.mp4
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18. Lecture 15.mp4
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19. Lecture 16.mp4
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20. Lecture 17.mp4
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21. Lecture 18.mp4
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21. Lecture 18.mp4
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22. Lecture 19.mp4
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23. Lecture 20.mp4
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18. Generative A.I Era5Lessons ·
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1. Introduction.mp4
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2. How Generative A.I Works .mp4
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3. Generative Adversarial Network.mp4
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4. What is AutoEncoders .mp4
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5. Limitations of AutoEncoders.mp4
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19. Human Face Generation with VAE14Lessons ·
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2. Architecture of VAE.mp4
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3. What is Normal Distribution .mp4
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4. Lecture 1.mp4
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5. Lecture 2.mp4
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6. Lecture 3.mp4
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7. Lecture 4.mp4
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8. Lecture 5.mp4
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9. Lecture 6.mp4
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10. Lecture 7.mp4
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11. Lecture 8.mp4
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12. Lecture 9.mp4
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13. Lecture 10.mp4
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15. Manipulate Faces Part 1.mp4
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16. Manipulate Faces Part 2.mp4
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20. Different ways of Model Saving And Loading4Lessons ·
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2. Introduction.mp4
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3. Model Saving & Loading Part 1.mp4
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4. Model Saving & Loading Part 2.mp4
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5. Torch JIT.mp4
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21. Libtorch Deep Learning Beyond Python C++8Lessons ·
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2. Introduction.mp4
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3. C++ Basics 1.mp4
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4. C++ Basics 2.mp4
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5. Libtorch Installation.mp4
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6. Libtorch Basics.mp4
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7. Creating Neural Network with Libtorch C++.mp4
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8. Exporting Python AI Neural network model to C++.mp4
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9. Libtorch Outro.mp4
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22. MLOPSPractices for a great A.I Model6Lessons ·
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1. MLOPS Lecture 1.mp4
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2. MLOPS Lecture 2.mp4
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3. MLOPS Lecture 3.mp4
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4. MLOPS Lecture 4.mp4
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5. MLOPS Lecture 5.mp4
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6. MLOPS Lecture 6.mp4
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23. Chat GPTYour's Helping Hand in Data Science5Lessons ·
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1. GPT 1.mp4
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2. GPT 4.mp4
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3. GPT 2.mp4
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4. GPT 3.mp4
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5. GPT 5.mp4
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24. Outro2Lessons ·
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1. Future Career Options.mp4
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2. Outro.mp4
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