3.1 GB | 10min 48s | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Overview of DLUT.mp4 (73.16 MB)
10 - Deep Learning Neural Networks and its Layers.mp4 (53.84 MB)
11 - Listing Directories.mp4 (110.12 MB)
12 - Import Image Data Generator.mp4 (72.08 MB)
13 - Advance Concept of Transfer Learning Part 1.mp4 (140.32 MB)
14 - Advance Concept of Transfer Learning Part 2.mp4 (78.95 MB)
15 - Advance Concept of Transfer Learning Part 3.mp4 (69.15 MB)
2 - Scenario of Perceptron.mp4 (157.97 MB)
3 - Creating Neural Network Using TensorFlow.mp4 (72.45 MB)
4 - Perform Multiclass Classification.mp4 (57.65 MB)
5 - Initializing the Model.mp4 (141.84 MB)
6 - Initializing the Model Continued.mp4 (54.97 MB)
7 - Image Processing Using CNN.mp4 (58.96 MB)
8 - Convolution Intuition.mp4 (33.84 MB)
9 - Classifying the Photos of Dogs and Cats.mp4 (84.18 MB)
16 - Introduction to Project.mp4 (5.86 MB)
17 - Package Installation.mp4 (81.36 MB)
18 - Load Data Pretrained Mode.mp4 (96.06 MB)
19 - Train Model Fit Model.mp4 (7.15 MB)
20 - Load Save Model.mp4 (21.11 MB)
21 - Function to Predict.mp4 (18.63 MB)
22 - Final Result.mp4 (4.01 MB)
23 - Introduction to Tensorflow with Python.mp4 (62.9 MB)
24 - Installation of Tensorflow.mp4 (132.52 MB)
25 - Basic Data Types for Tensorflow.mp4 (94.56 MB)
26 - Implementing Simple Linear Model.mp4 (30.43 MB)
27 - Creating a Python File.mp4 (45.67 MB)
28 - Optimization of Variable.mp4 (91.81 MB)
29 - Implementing the Constructor Variable.mp4 (65 MB)
30 - Printing the Variable Result.mp4 (33.09 MB)
31 - Naming the Variable.mp4 (45.32 MB)
32 - Introduction to Course.mp4 (11.62 MB)
33 - Import the Libraries.mp4 (32.72 MB)
34 - Accessing the Caption Dataset for Training.mp4 (72.81 MB)
35 - Accessing the Image DataSet for Trainingb.mp4 (15.64 MB)
36 - Preprocessing the Text Data.mp4 (173.35 MB)
37 - PreProcess and Load Captions Data.mp4 (84.28 MB)
38 - Loading the Captions for Training and Test Data.mp4 (63 MB)
39 - Preprocessing of Image Data.mp4 (43.79 MB)
40 - Loading Features for Train and Test Dataset.mp4 (108.85 MB)
41 - Text Tokenization and Sequence Text.mp4 (55.8 MB)
42 - Data Generators.mp4 (53.84 MB)
43 - Define the Model.mp4 (34.75 MB)
44 - Evaluation of Model.mp4 (51.41 MB)
45 - Test the Model.mp4 (77.67 MB)
46 - Create Streamlit App.mp4 (50.13 MB)
47 - Streamlit Prediction.mp4 (30.47 MB)
48 - Test Streamlit App.mp4 (24.61 MB)
49 - Deploy Streamlit on AWS EC2 Instance.mp4 (95.34 MB)]
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