Create Tool:
Create Time:1970-01-01 08:00:00
File Size:2.70 GB
File Count:121
File Hash:d0f464065673e4a6beca97f94aafbbaa42a237b0
0. Websites you may like/[CourseClub.ME].url | 122 B |
0. Websites you may like/[FCS Forum].url | 133 B |
0. Websites you may like/[FreeCourseSite.com].url | 127 B |
0. Websites you may like/[GigaCourse.Com].url | 49 B |
1. Introduction/1. Introduction.mp4 | 22.60 MB |
1. Introduction/1. Introduction.srt | 3.57 KB |
1. Introduction/2. Course Resources.html | 335 B |
10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 | 155.92 MB |
10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt | 21.86 KB |
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 | 92.16 MB |
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt | 11.88 KB |
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 | 151.56 MB |
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt | 18.79 KB |
13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 | 60.65 MB |
13. Hyperparameter Tuning/1. Hyperparameter Tuning.srt | 9.43 KB |
14. CNN - Basics/1. CNN Introduction.mp4 | 51.17 MB |
14. CNN - Basics/1. CNN Introduction.srt | 7.81 KB |
14. CNN - Basics/2. Stride.mp4 | 16.57 MB |
14. CNN - Basics/2. Stride.srt | 2.75 KB |
14. CNN - Basics/3. Padding.mp4 | 31.63 MB |
14. CNN - Basics/3. Padding.srt | 4.60 KB |
14. CNN - Basics/4. Filters and Feature maps.mp4 | 52.72 MB |
14. CNN - Basics/4. Filters and Feature maps.srt | 6.53 KB |
14. CNN - Basics/5. Channels.mp4 | 67.66 MB |
14. CNN - Basics/5. Channels.srt | 5.87 KB |
14. CNN - Basics/6. PoolingLayer.mp4 | 46.89 MB |
14. CNN - Basics/6. PoolingLayer.srt | 5.09 KB |
14. CNN - Basics/7. Quiz.html | 210 B |
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 | 40.62 MB |
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.srt | 5.54 KB |
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 | 43.26 MB |
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.srt | 6.68 KB |
15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 | 55.14 MB |
15. Creating CNN model in Python/3. CNN model in Python - Training and results.srt | 6.07 KB |
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 | 57.99 MB |
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.srt | 5.32 KB |
17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 | 49.42 MB |
17. Project Creating CNN model from scratch/1. Project - Introduction.srt | 7.11 KB |
17. Project Creating CNN model from scratch/2. Data for the project.html | 232 B |
17. Project Creating CNN model from scratch/2.1 Dataset.html | 127 B |
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 | 71.90 MB |
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.srt | 8.59 KB |
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 | 65.98 MB |
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.srt | 8.73 KB |
17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 | 21.03 MB |
17. Project Creating CNN model from scratch/5. Project in Python - model results.srt | 2.75 KB |
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 | 41.39 MB |
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.srt | 6.68 KB |
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 | 53.09 MB |
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.srt | 6.35 KB |
19. Transfer Learning Basics/1. ILSVRC.mp4 | 20.94 MB |
19. Transfer Learning Basics/1. ILSVRC.srt | 4.35 KB |
19. Transfer Learning Basics/2. LeNET.mp4 | 7.01 MB |
19. Transfer Learning Basics/2. LeNET.srt | 1.63 KB |
19. Transfer Learning Basics/3. VGG16NET.mp4 | 10.36 MB |
19. Transfer Learning Basics/3. VGG16NET.srt | 1.86 KB |
19. Transfer Learning Basics/4. GoogLeNet.mp4 | 21.36 MB |
19. Transfer Learning Basics/4. GoogLeNet.srt | 3.01 KB |
19. Transfer Learning Basics/5. Transfer Learning.mp4 | 30.00 MB |
19. Transfer Learning Basics/5. Transfer Learning.srt | 5.32 KB |
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 | 16.27 MB |
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt | 2.58 KB |
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 | 40.35 MB |
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt | 7.53 KB |
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 | 20.66 MB |
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt | 3.78 KB |
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 | 65.20 MB |
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt | 9.14 KB |
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 | 40.92 MB |
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt | 12.31 KB |
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 | 12.74 MB |
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt | 3.99 KB |
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 | 64.44 MB |
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt | 16.43 KB |
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 | 60.33 MB |
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt | 17.01 KB |
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 | 43.88 MB |
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt | 10.47 KB |
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 | 46.90 MB |
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt | 8.15 KB |
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 | 129.10 MB |
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.srt | 18.87 KB |
21. Bonus Section/1. The final milestone!.mp4 | 11.87 MB |
21. Bonus Section/1. The final milestone!.srt | 1.73 KB |
21. Bonus Section/2. Congratulations & About your certificate.html | 1.60 KB |
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 | 44.76 MB |
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt | 9.69 KB |
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 | 34.62 MB |
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt | 7.85 KB |
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 | 86.58 MB |
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt | 14.53 KB |
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 | 40.43 MB |
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt | 9.52 KB |
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 | 60.33 MB |
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt | 11.93 KB |
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 | 122.20 MB |
4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt | 22.78 KB |
4. Neural Networks - Stacking cells to create network/4. Quiz.html | 210 B |
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 | 62.19 MB |
5. Important concepts Common Interview questions/1. Some Important Concepts.srt | 13.10 KB |
5. Important concepts Common Interview questions/2. Quiz.html | 210 B |
6. Standard Model Parameters/1. Hyperparameters.mp4 | 45.35 MB |
6. Standard Model Parameters/1. Hyperparameters.srt | 8.95 KB |
6. Standard Model Parameters/2. Quiz.html | 210 B |
7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 | 14.92 MB |
7. Tensorflow and Keras/1. Keras and Tensorflow.srt | 3.56 KB |
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 | 20.06 MB |
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt | 3.79 KB |
8. Python - Dataset for classification problem/1. Dataset for classification.mp4 | 56.18 MB |
8. Python - Dataset for classification problem/1. Dataset for classification.srt | 7.16 KB |
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 | 44.21 MB |
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt | 5.73 KB |
8. Python - Dataset for classification problem/3. More about test-train split.html | 559 B |
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 | 10.81 MB |
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt | 1.87 KB |
9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 | 79.09 MB |
9. Python - Building and training the Model/2. Building the Neural Network using Keras.srt | 11.96 KB |
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 | 81.66 MB |
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt | 9.59 KB |
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 | 69.97 MB |
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt | 9.02 KB |
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