Udemy - Master Computer Vision & Deep Learning in OpenCV and Keras

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Free Download Udemy - Master Computer Vision & Deep Learning in OpenCV and Keras
Published: 4/2025
Created by: Lutfor Rahman
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 89 Lectures ( 15h 56m ) | Size: 9.13 GB

Master Computer Vision & Deep Learning with Python OpenCV, TensorFlow & Keras with 17 Projects
What you'll learn
Basic & Intermediate of Python
Basic & Intermediate Numpy
Image manipulation using OpenCV
Work with video using OpenCV
Object detection
Face detection
Keras
Tensorflow
Artificial Neural Network
Elements of an Artificial Neural Network
Deep Learning
Convolutional Neural Network
Image classification
Realtime object detection
Real time face and gender detection
Real time face detection
Requirements
No prior programming knowledge is required
You need a decent computer with a decent internet connection.
A very very important prerequisite: You are seriously willing to write codes with me.
A very very important prerequisite: You are seriously willing to develop deep learning and computer vision projects.
Description
Welcome to the course "Master Computer Vision and Deep Learning with Python OpenCV, TensorFlow and Keras". In this course you will learn everything from scratch. First you will learn Python from scratch to object oriented Python. Then you will learn Numpy from very basic to intermediate level. After that you will learn Python OpenCV from very beginning to advance level and then you will learn Matplotlib.At this stage you will learn about Image Kernels, Artificial Neural Network, Elements of Artificial Neural Network and What is Deep Learning.You will learn basic to intermediate levels of Tensorflow and you will learn how to play with tensors. You will learn how to create different types of tensors using Tensorflow and run different operations on those tensors.Finally, it's time to learn how to create an Artificial Neural Network Model using Tensorflow and Keras and we will create to solve a linear regression problem.After we learn and create Artificial Neural Network Model using Tensorflow and Keras, now it's time to implement Deep Neural Network, Convolutional Neural Network and develop multiple projects using Tensorflow, Keras and Convolutional Neural Network. We learn and develop binary image classification, multi-class image classification and real time classification and detection and we will learn and develop through projects by developing about 50 projects.You will learn through developing projects and writing codes together. We will together develop about 17 projects. I've already added 13 projects and about 4 more projects is coming soon. I will try to add at least 2 project per week.I promise to give you something which no instructor has ever given in any course.
Who this course is for
For someone who wants to develop a computer vision applications using python OpcnCV, Numpy, Tensorflow & Keras
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9.13 GB | 30min 31s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

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1 -Introduction.mp4 (17.9 MB)
2 -How to use this course for the better result.mp4 (13.14 MB)
3 -How to rate the course.mp4 (9.11 MB)
4 -How to use the QA section.mp4 (2.37 MB)
1 -Project 1 - Linear Regression Model using ANN in Keras & Tensorflow - Part 1.mp4 (174.01 MB)
2 -Project 1 - Linear Regression Model using ANN in Keras & Tensorflow - Part 2.mp4 (248.32 MB)
3 -Project 1 - Part 3 - Keras & Tensorflow Sequential Model and Training Details.mp4 (138.41 MB)
1 -Project 2 - Hand Written Digit Recognition in Artificial Neural Network.mp4 (219.03 MB)
1 -What is a Convolutional Neural Network.mp4 (14.81 MB)
1 -Project 3 - Hand Written Digit Recognition using CNN in Keras & Tensorflow.mp4 (161.88 MB)
1 -Project 4 - Image Classification & Fashion Recognition using CNN in Keras.mp4 (136.82 MB)
1 -Project 5 - Image Classification and Object Detection using cifar10 & CNN.mp4 (163.82 MB)
1 -Project 6 - Cats and Dogs Classification using CNN in Keras & Tensorflow.mp4 (259.49 MB)
1 -Project 7 - Image Classification and Cars Detection using CNN in Keras.mp4 (363.78 MB)
1 -Project 8 Part 1 - Image Classification & National Flower Detection using CNN.mp4 (58.88 MB)
2 -Project 8 Part 2 - Dealing with Overfitting, Underfitting and Model Validation.mp4 (72.22 MB)
3 -Project 8 Part 3 - Dealing with Overfitting and Data augmentation in Tensorflow.mp4 (88.62 MB)
1 -Project 9 - Image Classification for Face & Gender Detection using CNN in Keras.mp4 (259.36 MB)
1 -Installing and configuring Anaconda & PyCharm.mp4 (114.7 MB)
2 -Online Compiler & Google CoLab.mp4 (17.36 MB)
1 -Project 10 - Realtime Face & Gender Detection using CNN in Keras.mp4 (74.92 MB)
1 -Project 11 - Emotion detection (Happy & Sad) using CNN & Keras.mp4 (130.3 MB)
1 -What is transfer learning.mp4 (11.62 MB)
1 -Project 12 - Flower detection using TFHub and Transfer Learning.mp4 (293.6 MB)
1 -Introduction to Keras Applications.mp4 (87.11 MB)
1 -Project - 13 Object Detection using Keras Applications.mp4 (202.12 MB)
1 -01 Welcome to my Universe.mp4 (53 MB)
10 -10 Python Function & Method.mp4 (43.35 MB)
11 -11 Python List & Array part 2.mp4 (60.53 MB)
12 -12 Python List & Array - Part 3.mp4 (68.99 MB)
13 -13 Python Tuple, Set and Dictionary.mp4 (93.52 MB)
14 -14 Python String.mp4 (57.79 MB)
15 -15 Python Dates & Math Modules.mp4 (54.49 MB)
16 -16 Custom type in Python.mp4 (25.32 MB)
17 -17 Class, Object, Object properties, Constructor and methods.mp4 (89.65 MB)
18 -18 Python Scope, Private fields and methods.mp4 (140.28 MB)
19 -19 Python Inheritance.mp4 (146.94 MB)
2 -02 Variables & Value assignments.mp4 (32.09 MB)
20 -20 Python Polymorphism & Abstraction.mp4 (151.07 MB)
21 -21 Python Iterator.mp4 (45.82 MB)
22 -22 Python Lambda.mp4 (19.27 MB)
23 -23 Python Files.mp4 (88.32 MB)
24 -24 Python Try Except.mp4 (47.74 MB)
3 -03 Python - Data types & Operators.mp4 (81.93 MB)
4 -04 Python - Operators.mp4 (105.98 MB)
5 -05 Python Statements - if, else.mp4 (51.8 MB)
6 -06 Solution of Homework on Python Statements.mp4 (75.6 MB)
7 -07 Python For Loop.mp4 (39.38 MB)
8 -08 Python - While Loop.mp4 (24.52 MB)
9 -09 Python List & Array - Part 1.mp4 (72.09 MB)
1 -01 Creating numpy arrays.mp4 (64.64 MB)
2 -02 Numpy Array Attributes & Functions.mp4 (52.49 MB)
3 -03 Indexing and slicing numpy array.mp4 (110.59 MB)
4 -04 Numpy Copy & View.mp4 (55.16 MB)
5 -05 Reshape, Resize, Ravel & Flatten.mp4 (62.46 MB)
6 -06 Arithmetic Operations & Aggregations.mp4 (65.76 MB)
1 -01 OpenCV - Reading, Showing, Writing and Saving Images.mp4 (63.72 MB)
10 -10 OpenCV - Edge Detection.mp4 (227.8 MB)
11 -11 OpenCV - Draw Contours.mp4 (100.66 MB)
12 -12 OpenCV - Understanding and creating own image using Numpy.mp4 (212.67 MB)
13 -13 OpenCV - Color detection.mp4 (239.7 MB)
14 -14 OpenCV - Detect simple geometric shapes.mp4 (144.38 MB)
15 -15 OpenCV - Detect Corners.mp4 (138.12 MB)
16 -16 OpenCV - Motion detection and tracking.mp4 (110.16 MB)
2 -02 OpenCV - Numpy image and OpenCV image properties.mp4 (73.86 MB)
3 -03 OpenCV - Image manipulating [Resize, Blur, Color].mp4 (107.94 MB)
4 -04 OpenCV - Displaying Text & Drawing shapes on Image.mp4 (107.48 MB)
5 -05 OpenCV - Playing video from file and capturing image from video.mp4 (116.2 MB)
6 -06 OpenCV - Web cam, Security cam & video capturing and image capturing.mp4 (136.08 MB)
7 -07 OpenCV - Drawing shapes on Web cam, Security cam & video file.mp4 (98.78 MB)
8 -08 OpenCV - Object detection using template matching.mp4 (166.89 MB)
9 -09 OpenCV - Image thresholding.mp4 (137.92 MB)
1 -Matplotlib - An Introduction.mp4 (115.86 MB)
1 -Image Kernels.mp4 (31.28 MB)
1 -What is Deep Learning.mp4 (20.93 MB)
2 -Artificial Neural Network.mp4 (21.01 MB)
3 -Elements or Components of Artificial Neural Network.mp4 (22.22 MB)
1 -01 Tensorflow Basic - Scalar, Vector, Matrix & Tensor.mp4 (8.44 MB)
10 -10 math reduce prod(), math reduce variance(), linalg matmul() in Tensorflow.mp4 (161.24 MB)
11 -11 tf transpose(), tf split(), tf reverse(), tf sort() in Tensorflow.mp4 (195.72 MB)
12 -12 tf one hot(), tf keras utils to categorical() in Tensorflow.mp4 (46.96 MB)
2 -02 Creating tensors in Tensorflow using tf constant().mp4 (196.73 MB)
3 -03 Creating tensors in Tensorflow using tf variable().mp4 (146.49 MB)
4 -04 tf zeros(), tf ones() and tf range() tensors in Tensorflow.mp4 (106 MB)
5 -05 math reduce mean(), math reduce std(), random normal(), and random uniform().mp4 (201.43 MB)
6 -06 tf random shuffle(), tf reshape(), flatten and tf cast() in Tensorflow.mp4 (84.19 MB)
7 -07 Indexing and slicing tensors in Tensorflow.mp4 (132.06 MB)
8 -08 Tensorflow Basic - Basic Arithmetic Operations in Tensorflow.mp4 (169.13 MB)
9 -09 math argmax(), math argmin(), math equal(), math not equal(), math greater().mp4 (94.76 MB)

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