Convolutional Neural Networks (CNNs) revolutionized computer vision after AlexNet in 2012 and have since become indispensable in areas ranging from image recognition and object detection to audio processing and reinforcement learning. Mastering CNNs is now essential for anyone pursuing a career in data science.
This course begins by introducing the importance of CNNs in data science and revisiting classical computer vision techniques such as image processing and object detection. You will then build a strong foundation in deep neural networks with topics like perceptrons and multi-layered perceptrons before diving deep into CNNs. Key topics include:
CNN architecture and gradient descent in CNNs
Using TensorFlow for CNN implementation
Classical CNN architectures and transfer learning
A hands-on YOLO case study for object detection
Who should take this Course?
The Deep Learning CNN with Python Online Course is ideal for data scientists, machine learning engineers, AI enthusiasts, and developers who want to master convolutional neural networks for image recognition and computer vision tasks. It is also suitable for students, researchers, and professionals in areas like healthcare, robotics, and automation who are eager to apply CNNs using Python to solve real-world challenges with deep learning.
What you will learn
Understand the importance of CNNs in data science
Explore the reasons to shift from classical computer vision to CNNs
Learn concepts from the beginning with comprehensive unfolding with examples in Python
Study the evolutions of CNNs from LeNet (1990s) to MobileNets (2020s)
Deep-dive into CNNs with examples of training CNNs from scratch
Build your own applications for human face verification and neural style transfer
Course Outline
Introduction to the Course
Course Overview
Introduction to Instructor
Why CNN
Focus of the Course
Image Processing
Gray-Scale Images
Gray-Scale Images Quiz
Gray-Scale Images Solution
RGB Images
RGB Images Quiz
RGB Images Solution
Reading and Showing Images in Python
Reading and Showing Images in Python Quiz
Reading and Showing Images in Python Solution
Converting an Image to Grayscale in Python
Converting an Image to Grayscale in Python Quiz
Converting an Image to Grayscale in Python Solution
Image Formation
Image Formation Quiz
Image Formation Solution
Image Blurring 1
Image Blurring 1 Quiz
Image Blurring 1 Solution
Image Blurring 2
Image Blurring 2 Quiz
Image Blurring 2 Solution
General Image Filtering
Convolution
Edge Detection
Image Sharpening
Implementation of Image Blurring Edge Detection Image Sharpening in Python
Parametric Shape Detection
Image Processing
Image Processing Activity
Image Processing Activity Solution
Object Detection
Introduction to Object Detection
Classification Pipeline
Classification Pipeline Quiz
Classification Pipeline Solution
Sliding Window Implementation
Shift Scale Rotation Invariance
Shift Scale Rotation Invariance Exercise
Person Detection
HOG Features
HOG Features Exercise
Hand Engineering Versus CNNs
Object Detection Activity
Deep Neural Network Overview
Neuron and Perceptron
DNN Architecture
DNN Architecture Quiz
DNN Architecture Solution
FeedForward FullyConnected MLP
Calculating Number of Weights of DNN
Calculating Number of Weights of DNN Quiz
Calculating Number of Weights of DNN Solution
Number of Neurons Versus Number of Layers
Discriminative Versus Generative Learning
Universal Approximation Theorem
Why Depth
Decision Boundary in DNN
Decision Boundary in DNN Quiz
Decision Boundary in DNN Solution
BiasTerm
BiasTerm Quiz
BiasTerm Solution
Activation Function
Activation Function Quiz
Activation Function Solution
DNN Training Parameters
DNN Training Parameters Quiz
DNN Training Parameters Solution
Gradient Descent
Backpropagation
Training DNN Animation
Weight Initialization
Weight Initialization Quiz
Weight Initialization Solution
Batch MiniBatch Stochastic Gradient Descent
Batch Normalization
Rprop and Momentum
Rprop and Momentum Quiz
Rprop and Momentum Solution
Convergence Animation
DropOut, Early Stopping and Hyperparameters
DropOut, Early Stopping and Hyperparameters Quiz
DropOut, Early Stopping and Hyperparameters Solution
Deep Neural Network Architecture
Convolution Revisited
Implementing Convolution in Python Revisited
Why Convolution
Filters Padding Strides
Padding Image
Pooling Tensors
CNN Example
Convolution and Pooling Details
MaxPooling Exercise
NonVectorized Implementations of Conv2d and Pool2d
