How deep representation of a Neural Network looks like?
What are the building blocks of a Deep Neural Network?
How to implement a deep Neural Network in Python from scratch?
Introduction to Computer Vision
How can we discover the edges in the picture?
How to choose the proper weights for your filter?
How do we decide the values for padding?
How to define the step size of the kernel when traversing the image?
How to apply strides in volume on Convolutional Neural Network?
How to calculate the number of parameters in Convolutional Neural Networks?
Learn to build your first simple Convolutional Neural Network
The most common methods of speeding up ConvNets
An example of Neural Network with fully connected layers
How do we know when to use a Convolutional Neural Network?
An overview of the 11 Convolutional Neural Network architectures
The goal of LeNet−5 is to recognize handwritten digits. This is how the architecture af a LeNet-5 looks like?
How does the architecture of an AlexNet looks like?
How does a VGG Neural Network architecture looks like ?
How does a ResNet architecture looks like ?
An example that illustrates why ResNets work so well
An example of how we can reduce a number of channels witx 1×1 convolution
Introduction to basic building blocks of the Inception Network.
How to put basic building blocks together and build the Inception Network?
How to solve a problem of complex Neural Network architectures?
Data augmentation is one of the techniques that is used to improve the performance of computer vision systems
In order to build up object detection we first need to learn about object localization
How we can get a Neural Network to output specific bounding boxes of an object?
How we can build an object detection algorithm using Convolutional Neural Network?
Learn how to implement sliding windows convolutionally?
How to obtain more accurate predictions of bounding boxes?
Learn about a function called Intersection over union. We will use this function to make the object detection algorithm work even better
How to overcome multiple detection of the same object?
How to overcome multiple detection of the same object using the idea of Anchorboxes ?
How to create the Yolo object detection algorithm?
How to recognize a person given just one example?
How to use two faces that will tell us how similar or how different they are?
How to define an objective function to make our Neural Network learn?
The fundamental theory of Recurrent Neural Networks, the motivation for its use, and basic notation
Learn how to build and represent basic RNN models using the mathematical notations of Forward and Back Propagation techniques
Start to explore the various categories of RNNs and learn how these different models solve day to day problems
Learn how RNNs are used to build and train Language Models and sample novel sequences from trained models
Learn how you can solve Vanishing Gradient problems by modifying your basic RNN architecture
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