Deep Learning Neural Networks With Tensorflow DevCourseWeb
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| Torrent Hash : | 414B39EC9D15BC269A03AF26C5ADFD71A5BAB781 |
| Torrent Added : | at Feb. 1, 2024, 5:43 p.m. in Other |
| Torrent Size : | 3.1 GB |
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Deep Learning Neural Networks With Tensorflow DevCourseWeb
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Deep Learning Neural Networks With Tensorflow DevCourseWeb
Get Bonus Downloads Here.url -
1 - Overview of DLUT.mp4 -
10 - Deep Learning Neural Networks and its Layers.mp4 -
11 - Listing Directories.mp4 -
12 - Import Image Data Generator.mp4 -
13 - Advance Concept of Transfer Learning Part 1.mp4 -
14 - Advance Concept of Transfer Learning Part 2.mp4 -
15 - Advance Concept of Transfer Learning Part 3.mp4 -
2 - Scenario of Perceptron.mp4 -
3 - Creating Neural Network Using TensorFlow.mp4 -
4 - Perform Multiclass Classification.mp4 -
5 - Initializing the Model.mp4 -
6 - Initializing the Model Continued.mp4 -
7 - Image Processing Using CNN.mp4 -
8 - Convolution Intuition.mp4 -
9 - Classifying the Photos of Dogs and Cats.mp4 -
16 - Introduction to Project.mp4 -
17 - Package Installation.mp4 -
18 - Load Data Pretrained Mode.mp4 -
19 - Train Model Fit Model.mp4 -
20 - Load Save Model.mp4 -
21 - Function to Predict.mp4 -
22 - Final Result.mp4 -
23 - Introduction to Tensorflow with Python.mp4 -
24 - Installation of Tensorflow.mp4 -
25 - Basic Data Types for Tensorflow.mp4 -
26 - Implementing Simple Linear Model.mp4 -
27 - Creating a Python File.mp4 -
28 - Optimization of Variable.mp4 -
29 - Implementing the Constructor Variable.mp4 -
30 - Printing the Variable Result.mp4 -
31 - Naming the Variable.mp4 -
32 - Introduction to Course.mp4 -
33 - Import the Libraries.mp4 -
34 - Accessing the Caption Dataset for Training.mp4 -
35 - Accessing the Image DataSet for Trainingb.mp4 -
36 - Preprocessing the Text Data.mp4 -
37 - PreProcess and Load Captions Data.mp4 -
38 - Loading the Captions for Training and Test Data.mp4 -
39 - Preprocessing of Image Data.mp4 -
40 - Loading Features for Train and Test Dataset.mp4 -
41 - Text Tokenization and Sequence Text.mp4 -
42 - Data Generators.mp4 -
43 - Define the Model.mp4 -
44 - Evaluation of Model.mp4 -
45 - Test the Model.mp4 -
46 - Create Streamlit App.mp4 -
47 - Streamlit Prediction.mp4 -
48 - Test Streamlit App.mp4 -
49 - Deploy Streamlit on AWS EC2 Instance.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
182 bytes
1 - Overview of DLUT.mp4 -
73.2 MB
10 - Deep Learning Neural Networks and its Layers.mp4 -
53.8 MB
11 - Listing Directories.mp4 -
110.1 MB
12 - Import Image Data Generator.mp4 -
72.1 MB
13 - Advance Concept of Transfer Learning Part 1.mp4 -
140.3 MB
14 - Advance Concept of Transfer Learning Part 2.mp4 -
78.9 MB
15 - Advance Concept of Transfer Learning Part 3.mp4 -
69.1 MB
2 - Scenario of Perceptron.mp4 -
158.0 MB
3 - Creating Neural Network Using TensorFlow.mp4 -
72.4 MB
4 - Perform Multiclass Classification.mp4 -
57.7 MB
5 - Initializing the Model.mp4 -
141.8 MB
6 - Initializing the Model Continued.mp4 -
55.0 MB
7 - Image Processing Using CNN.mp4 -
59.0 MB
8 - Convolution Intuition.mp4 -
33.8 MB
9 - Classifying the Photos of Dogs and Cats.mp4 -
84.2 MB
16 - Introduction to Project.mp4 -
5.9 MB
17 - Package Installation.mp4 -
81.4 MB
18 - Load Data Pretrained Mode.mp4 -
96.1 MB
19 - Train Model Fit Model.mp4 -
7.1 MB
20 - Load Save Model.mp4 -
21.1 MB
21 - Function to Predict.mp4 -
18.6 MB
22 - Final Result.mp4 -
4.0 MB
23 - Introduction to Tensorflow with Python.mp4 -
62.9 MB
24 - Installation of Tensorflow.mp4 -
132.5 MB
25 - Basic Data Types for Tensorflow.mp4 -
94.6 MB
26 - Implementing Simple Linear Model.mp4 -
30.4 MB
27 - Creating a Python File.mp4 -
45.7 MB
28 - Optimization of Variable.mp4 -
91.8 MB
29 - Implementing the Constructor Variable.mp4 -
65.0 MB
30 - Printing the Variable Result.mp4 -
33.1 MB
31 - Naming the Variable.mp4 -
45.3 MB
32 - Introduction to Course.mp4 -
11.6 MB
33 - Import the Libraries.mp4 -
32.7 MB
34 - Accessing the Caption Dataset for Training.mp4 -
72.8 MB
35 - Accessing the Image DataSet for Trainingb.mp4 -
15.6 MB
36 - Preprocessing the Text Data.mp4 -
173.3 MB
37 - PreProcess and Load Captions Data.mp4 -
84.3 MB
38 - Loading the Captions for Training and Test Data.mp4 -
63.0 MB
39 - Preprocessing of Image Data.mp4 -
43.8 MB
40 - Loading Features for Train and Test Dataset.mp4 -
108.9 MB
41 - Text Tokenization and Sequence Text.mp4 -
55.8 MB
42 - Data Generators.mp4 -
53.8 MB
43 - Define the Model.mp4 -
34.8 MB
44 - Evaluation of Model.mp4 -
51.4 MB
45 - Test the Model.mp4 -
77.7 MB
46 - Create Streamlit App.mp4 -
50.1 MB
47 - Streamlit Prediction.mp4 -
30.5 MB
48 - Test Streamlit App.mp4 -
24.6 MB
49 - Deploy Streamlit on AWS EC2 Instance.mp4 -
95.3 MB
Bonus Resources.txt -
386 bytes
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