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  1. .gitattributes +47 -0
  2. 1. Word2Vec - Finding Odd One Out.mp4 +3 -0
  3. 3D by AI Using Generative AI and NeRFs for Building Virtual Worlds, with Q&A in Japanese.pdf +3 -0
  4. Case study 4Taxi demand prediction in New York City/Notes and Resources/yellow_tripdata_2016-02.csv +3 -0
  5. Case study 4Taxi demand prediction in New York City/Notes and Resources/yellow_tripdata_2016-03.csv +3 -0
  6. Module 8 Neural Networks Computer Vision and Deep Learning/1. Deep LearningNeural Networks/11.1. Reference.pdf +3 -0
  7. Module 8 Neural Networks Computer Vision and Deep Learning/1. Deep LearningNeural Networks/11.2. Reference.pdf +3 -0
  8. Module 8 Neural Networks Computer Vision and Deep Learning/10. Deep Learning Image Segmentation/1.1. Image Segmentation.pdf +3 -0
  9. Module 8 Neural Networks Computer Vision and Deep Learning/11. Deep Learning Object Detection/1.1. Object Detection_1.pdf +3 -0
  10. Module 8 Neural Networks Computer Vision and Deep Learning/12. Deep Learning GPT-1 - 2 and GPT-3 Models/1.1. GPT Models.pdf +3 -0
  11. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/1.1. TF_Keras_I.ipynb +3 -0
  12. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/11.1. Interactive Interview Session from AppliedAICourse.pdf +3 -0
  13. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/12.1. VisionTransformer.pdf +3 -0
  14. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/2.1. TF_2_0_&_KERAS_II.ipynb +3 -0
  15. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/3.1. DCGAN_&_Gradient_Tape.ipynb +3 -0
  16. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/4.1. TimeSeriesForecasting_LSTMs.ipynb +3 -0
  17. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/5.1. BERT.ipynb +3 -0
  18. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/6.1.BERT_Finetuning.ipynb +3 -0
  19. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/7.1. Transformers_1.ipynb +3 -0
  20. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/8.1. transformer.ipynb +3 -0
  21. Module 8 Neural Networks Computer Vision and Deep Learning/14. Module 8 Live Sessions/9.1. LIVE_ Questions on Classification Methods.pdf +3 -0
  22. Module 8 Neural Networks Computer Vision and Deep Learning/2. Deep Learning Deep Multi-layer perceptrons/13.1. Reference.pdf +3 -0
  23. Module 8 Neural Networks Computer Vision and Deep Learning/2. Deep Learning Deep Multi-layer perceptrons/19.1. Discusssion Screenshot.pdf +3 -0
  24. Module 8 Neural Networks Computer Vision and Deep Learning/2. Deep Learning Deep Multi-layer perceptrons/3.1. Reference.pdf +3 -0
  25. Module 8 Neural Networks Computer Vision and Deep Learning/2. Deep Learning Deep Multi-layer perceptrons/5.1. Reference.pdf +3 -0
  26. Module 8 Neural Networks Computer Vision and Deep Learning/3. Deep Learning Tensorflow and Keras/12.1. Keras_Mnist.ipynb +3 -0
  27. Module 8 Neural Networks Computer Vision and Deep Learning/3. Deep Learning Tensorflow and Keras/13.1. Keras_Mnist.ipynb +3 -0
  28. Module 8 Neural Networks Computer Vision and Deep Learning/3. Deep Learning Tensorflow and Keras/6.1. Tensorflow_Softmax_Classifier.ipynb +3 -0
  29. Module 8 Neural Networks Computer Vision and Deep Learning/3. Deep Learning Tensorflow and Keras/7.1. MLP_Tensorflow_drive.ipynb +3 -0
  30. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/1.3. Reference.jpg +3 -0
  31. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/10.1. Reference.pdf +3 -0
  32. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/12.1. Reference.pdf +3 -0
  33. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/13.1. Reference.pdf +3 -0
  34. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/13.2. Reference.jpg +3 -0
  35. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/13.3. Reference.pdf +3 -0
  36. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/14.1. Reference.pdf +3 -0
  37. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/15.1. Reference.pdf +3 -0
  38. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/15.2. Reference.pdf +3 -0
  39. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/16.1. Reference.pdf +3 -0
  40. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/17.1. Reference.pdf +3 -0
  41. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/18.1. Reference.pdf +3 -0
  42. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/19.1. CNN_MNIST.ipynb +3 -0
  43. Module 8 Neural Networks Computer Vision and Deep Learning/4. Deep Learning Convolutional Neural Nets/4.1. Reference.png +3 -0
  44. Module 8 Neural Networks Computer Vision and Deep Learning/5. Deep Learning Long Short-term memory (LSTMs)/10.1. LSTM_IMDB.ipynb +3 -0
  45. Module 8 Neural Networks Computer Vision and Deep Learning/5. Deep Learning Long Short-term memory (LSTMs)/6.1. Reference.pdf +3 -0
  46. Module 8 Neural Networks Computer Vision and Deep Learning/7. Encoder-Decoder Models/1.1. Encoder-Decoder.pdf +3 -0
  47. Module 9 Deep Learning Real-World Case Studies/2. Case Study 11 Human Activity Recognition/1.1. HumanActivityRecognition.zip +3 -0
  48. Module 9 Deep Learning Real-World Case Studies/2. Case Study 11 Human Activity Recognition/2.1. Reference.pdf +3 -0
  49. Module 9 Deep Learning Real-World Case Studies/4. Case Study 13 Semantic Search Engine for Q&A [Design + Code]/0. SearchEngine_QA.zip +3 -0
  50. Module 9 Deep Learning Real-World Case Studies/6. Interview Questions/Revision Questions.doc +3 -0
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