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文档列表

10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.mp4 135.4 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
9. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 82.9 MB
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.mp4 75.4 MB
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.4 MB
14. CNN - Basics/5. Channels.mp4 71.0 MB
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.mp4 69.2 MB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4 68.4 MB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4 67.6 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
13. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4 63.3 MB
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.mp4 60.8 MB
8. Python - Dataset for classification problem/1. Dataset for classification.mp4 58.9 MB
15. Creating CNN model in Python/3. CNN model in Python - Training and results.mp4 57.8 MB
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.mp4 55.7 MB
14. CNN - Basics/4. Filters and Feature maps.mp4 55.3 MB
14. CNN - Basics/1. CNN Introduction.mp4 53.7 MB
17. Project Creating CNN model from scratch/1. Project - Introduction.mp4 51.8 MB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4 49.2 MB
14. CNN - Basics/6. PoolingLayer.mp4 49.2 MB
6. Standard Model Parameters/1. Hyperparameters.mp4 47.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 46.9 MB
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 46.4 MB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4 46.0 MB
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.mp4 45.4 MB
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.mp4 43.4 MB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4 42.9 MB
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.mp4 42.6 MB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 42.4 MB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4 42.3 MB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 36.3 MB
14. CNN - Basics/3. Padding.mp4 33.2 MB
19. Transfer Learning Basics/5. Transfer Learning.mp4 31.5 MB
1. Introduction/1. Introduction.mp4 23.7 MB
19. Transfer Learning Basics/4. GoogLeNet.mp4 22.4 MB
17. Project Creating CNN model from scratch/5. Project in Python - model results.mp4 22.0 MB
19. Transfer Learning Basics/1. ILSVRC.mp4 22.0 MB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4 21.7 MB
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 21.0 MB
14. CNN - Basics/2. Stride.mp4 17.4 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 17.1 MB
7. Tensorflow and Keras/1. Keras and Tensorflow.mp4 15.6 MB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4 13.4 MB
21. Bonus Section/1. The final milestone!.mp4 12.5 MB
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 11.3 MB
19. Transfer Learning Basics/3. VGG16NET.mp4 10.9 MB
19. Transfer Learning Basics/2. LeNET.mp4 7.3 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt 23.3 kB
10. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt 22.4 kB
20. Transfer Learning in Python/1. Project - Transfer Learning - VGG16.srt 19.3 kB
12. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 19.2 kB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt 17.4 kB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt 16.8 kB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt 14.9 kB
5. Important concepts Common Interview questions/1. Some Important Concepts.srt 13.4 kB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt 12.6 kB
9. Python - Building and training the Model/2. Building the Neural Network using Keras.srt 12.2 kB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt 12.2 kB
11. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt 12.2 kB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt 10.7 kB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt 9.9 kB
9. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt 9.8 kB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt 9.7 kB
13. Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.7 kB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt 9.4 kB
9. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt 9.2 kB
6. Standard Model Parameters/1. Hyperparameters.srt 9.2 kB
17. Project Creating CNN model from scratch/4. Project - Training CNN model in Python.srt 8.9 kB
17. Project Creating CNN model from scratch/3. Project - Data Preprocessing in Python.srt 8.8 kB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt 8.3 kB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt 8.0 kB
14. CNN - Basics/1. CNN Introduction.srt 8.0 kB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt 7.7 kB
8. Python - Dataset for classification problem/1. Dataset for classification.srt 7.3 kB
17. Project Creating CNN model from scratch/1. Project - Introduction.srt 7.3 kB
18. Project Data Augmentation for avoiding overfitting/1. Project - Data Augmentation Preprocessing.srt 6.8 kB
15. Creating CNN model in Python/2. CNN model in Python - structure and Compile.srt 6.8 kB
14. CNN - Basics/4. Filters and Feature maps.srt 6.7 kB
18. Project Data Augmentation for avoiding overfitting/2. Project - Data Augmentation Training and Results.srt 6.5 kB
15. Creating CNN model in Python/3. CNN model in Python - Training and results.srt 6.2 kB
14. CNN - Basics/5. Channels.srt 6.0 kB
8. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt 5.9 kB
15. Creating CNN model in Python/1. CNN model in Python - Preprocessing.srt 5.7 kB
19. Transfer Learning Basics/5. Transfer Learning.srt 5.5 kB
16. Analyzing impact of Pooling layer/1. Comparison - Pooling vs Without Pooling in Python.srt 5.4 kB
14. CNN - Basics/6. PoolingLayer.srt 5.2 kB
14. CNN - Basics/3. Padding.srt 4.7 kB
19. Transfer Learning Basics/1. ILSVRC.srt 4.5 kB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt 4.1 kB
7. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt 3.9 kB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt 3.9 kB
1. Introduction/1. Introduction.srt 3.7 kB
7. Tensorflow and Keras/1. Keras and Tensorflow.srt 3.6 kB
19. Transfer Learning Basics/4. GoogLeNet.srt 3.1 kB
14. CNN - Basics/2. Stride.srt 2.8 kB
17. Project Creating CNN model from scratch/5. Project in Python - model results.srt 2.8 kB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt 2.6 kB
9. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt 1.9 kB
19. Transfer Learning Basics/3. VGG16NET.srt 1.9 kB
21. Bonus Section/1. The final milestone!.srt 1.8 kB
19. Transfer Learning Basics/2. LeNET.srt 1.7 kB
21. Bonus Section/2. Congratulations & About your certificate.html 1.6 kB
8. Python - Dataset for classification problem/3. More about test-train split.html 559 Bytes
1. Introduction/2. Course Resources.html 335 Bytes
17. Project Creating CNN model from scratch/2. Data for the project.html 232 Bytes
14. CNN - Basics/7. Quiz.html 210 Bytes
4. Neural Networks - Stacking cells to create network/4. Quiz.html 210 Bytes
5. Important concepts Common Interview questions/2. Quiz.html 210 Bytes
6. Standard Model Parameters/2. Quiz.html 210 Bytes
0. Websites you may like/[FCS Forum].url 133 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
17. Project Creating CNN model from scratch/2.1 Dataset.html 127 Bytes
0. Websites you may like/[CourseClub.ME].url 122 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes

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