[FreeCourseSite.com] Udemy - Convolutional Neural Networks in Python CNN Computer Vision
大小
2.7 GB
文件数
121
Info Hash:
D0F464065673E4A6BECA97F94AAFBBAA42A237B0
收录时间
2025-12-17 01:24:26
更新时间
2025-12-17 01:24:26
文件列表 (121)
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
22.6 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
4.6 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
71.9 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 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
65.2 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
46.9 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
129.1 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
1.6 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
122.2 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
13.1 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