[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision

FreeCourseSite com Udemy - Convolutional Neural Networks in Python CNN Computer Vision

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Creat Time: 2024-09-08 04:45:41

Last Active: 2024-11-11 06:11:13

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File List:

  1. 10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 159.66 MB
  2. 12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 155.20 MB
  3. 20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 132.19 MB
  4. 4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 125.14 MB
  5. 11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 94.37 MB
  6. 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 88.66 MB
  7. 9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 83.62 MB
  8. 9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 80.99 MB
  9. 17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 73.62 MB
  10. 9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 71.65 MB
  11. 14. CNN - Basics/5. Channels.mp4 69.29 MB
  12. 17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 67.57 MB
  13. 2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 66.76 MB
  14. 2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 65.99 MB
  15. 5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 63.68 MB
  16. 13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 62.11 MB
  17. 4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 61.78 MB
  18. 2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 61.78 MB
  19. 16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 59.38 MB
  20. 8. Python - Dataset for classification problem/1. Dataset for classification.mp4 57.53 MB
  21. 15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 56.46 MB
  22. 18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 54.36 MB
  23. 14. CNN - Basics/4. Filters and Feature maps.mp4 53.99 MB
  24. 14. CNN - Basics/1. CNN Introduction.mp4 52.40 MB
  25. 17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 50.61 MB
  26. 2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 48.02 MB
  27. 14. CNN - Basics/6. PoolingLayer.mp4 48.02 MB
  28. 6. Standard Model Parameters/1. Hyperparameters.mp4 46.44 MB
  29. 3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 45.83 MB
  30. 8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 45.27 MB
  31. 2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 44.94 MB
  32. 15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 44.30 MB
  33. 18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 42.38 MB
  34. 2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 41.90 MB
  35. 15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 41.59 MB
  36. 4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 41.40 MB
  37. 2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 41.32 MB
  38. 3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 35.45 MB
  39. 14. CNN - Basics/3. Padding.mp4 32.39 MB
  40. 19. Transfer Learning Basics/5. Transfer Learning.mp4 30.72 MB
  41. 1. Introduction/1. Introduction.mp4 23.14 MB
  42. 19. Transfer Learning Basics/4. GoogLeNet.mp4 21.88 MB
  43. 17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 21.53 MB
  44. 19. Transfer Learning Basics/1. ILSVRC.mp4 21.44 MB
  45. 2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 21.16 MB
  46. 7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 20.54 MB
  47. 14. CNN - Basics/2. Stride.mp4 16.97 MB
  48. 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 16.66 MB
  49. 7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 15.27 MB
  50. 2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 13.05 MB