Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

Udemy - Deep Learning Convolutional Neural Networks in Python 5 2025

File Size： 3.96 GB

Creat Time： 2025-07-18 09:00:25

Last Active： 2025-07-24 20:27:03

Active Degree： 16

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File List：

  1. 13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 309.11 MB
  2. 06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4 298.89 MB
  3. 05. Convolutional Neural Networks/4. Why use 0-indexing.mp4 200.95 MB
  4. 13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 192.00 MB
  5. 03. Machine Learning and Neurons/4. Classification Notebook.mp4 172.09 MB
  6. 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 136.36 MB
  7. 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 134.82 MB
  8. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4 108.44 MB
  9. 02. Google Colab/2. Uploading your own data to Google Colab.mp4 103.32 MB
  10. 05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4 101.21 MB
  11. 04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 99.18 MB
  12. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4 93.55 MB
  13. 03. Machine Learning and Neurons/6. Regression Notebook.mp4 87.59 MB
  14. 02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 71.61 MB
  15. 03. Machine Learning and Neurons/8. How does a model learn.mp4 60.59 MB
  16. 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 60.19 MB
  17. 05. Convolutional Neural Networks/6. CNN Architecture.mp4 59.72 MB
  18. 04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 59.51 MB
  19. 06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 59.42 MB
  20. 05. Convolutional Neural Networks/7. CNN Code Preparation.mp4 57.60 MB
  21. 03. Machine Learning and Neurons/2. What is Machine Learning.mp4 47.96 MB
  22. 05. Convolutional Neural Networks/5. Convolution on Color Images.mp4 45.87 MB
  23. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).mp4 44.42 MB
  24. 04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4 44.33 MB
  25. 06. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4 44.31 MB
  26. 05. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 43.42 MB
  27. 16. Appendix FAQ Finale/1. BONUS.mp4 43.17 MB
  28. 04. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 43.08 MB
  29. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 42.86 MB
  30. 03. Machine Learning and Neurons/10. Saving and Loading a Model.mp4 41.69 MB
  31. 03. Machine Learning and Neurons/11. Suggestion Box.mp4 39.80 MB
  32. 05. Convolutional Neural Networks/8. CNN for Fashion MNIST.mp4 38.54 MB
  33. 11. In-Depth Gradient Descent/5. Adam (pt 1).mp4 38.11 MB
  34. 03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).mp4 37.75 MB
  35. 09. Practical Tips/1. Advanced CNNs and how to Design your Own.mp4 37.25 MB
  36. 08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.mp4 37.05 MB
  37. 02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 36.56 MB
  38. 07. Convolution In-Depth/1. Real-Life Examples of Convolution.mp4 36.18 MB
  39. 06. Natural Language Processing (NLP)/1. Embeddings.mp4 35.98 MB
  40. 04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).mp4 32.31 MB
  41. 02. Google Colab/4. Temporary 403 Errors.mp4 31.71 MB
  42. 11. In-Depth Gradient Descent/6. Adam (pt 2).mp4 31.32 MB
  43. 04. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4 30.77 MB
  44. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.mp4 29.62 MB
  45. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).mp4 29.29 MB
  46. 04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 28.66 MB
  47. 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.mp4 27.91 MB
  48. 03. Machine Learning and Neurons/7. The Neuron.mp4 26.36 MB
  49. 05. Convolutional Neural Networks/9. CNN for CIFAR-10.mp4 25.79 MB
  50. 05. Convolutional Neural Networks/10. Data Augmentation.mp4 25.77 MB
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