Transfer Learning — Part 1!! Pandect
In this series, we will discuss Transfer Learning. Transfer Learning was a breakthrough in Artificial Intelligence which enables several other sectors in which collecting huge datasets was a problem to employ this mechanism and fine tune the per-trained neural network on their datasets which is small in number.
In this series, we will discuss state of the art model which are in public domain with code by using the APIs Keras and as well as PyTorch. The content of series content will be as follows:
Transfer Learning -Part 2
This part will be dedicated to the introduction to the Transfer Learning and environment setup for PyTorch and Keras.
Transfer Learning -Part 3
Here, we will have glimpse of the per-trained neural network and their repositories which we will use in our further article.
Transfer Learning -Part 4
This part will be divided into 3 sub part and we will discuss state of the art VGG-16 and VGG-19 model.
Transfer Learning -Part 4.1: This is sub part of Part 4 where we will have hands on coding of VGG-16 as well as VGG-19 with Keras API.
Transfer Learning -Part 4.2: This is sub part of Part 4 where we will have hands on coding of VGG-16 as well as VGG-19 with PyTorch API.
Transfer Learning -Part 5
This part will be divided into 3 sub part and we will discuss state of the art RestNet model.
Transfer Learning -Part 5.1: This is sub part of Part 4 where we will have hands on coding of RestNet model with Keras API.
Transfer Learning -Part 5.2: This is sub part of Part 4 where we will have hands on coding of RestNet model with PyTorch API.
Transfer Learning -Part 6
This part will be divided into 3 sub part and we will discuss state of the art Xception model.
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Transfer Learning -Part 6.1: This is sub part of Part 4 where we will have hands on coding of Xception model with Keras API.
Transfer Learning -Part 6.2: This is sub part of Part 4 where we will have hands on coding of Xception model with PyTorch API.
Transfer Learning -Part 7
This part will be divided into 3 sub part and we will discuss state of the art Inception model.
Transfer Learning -Part 7.1: This is sub part of Part 4 where we will have hands on coding of Inception model with Keras API.
Transfer Learning -Part 7.2: This is sub part of Part 4 where we will have hands on coding of Inception model with PyTorch API.
Transfer Learning -Part 8
This part will be divided into 3 sub part and we will discuss state of the art Mobile Net model.
Transfer Learning -Part 8.1: This is sub part of Part 4 where we will have hands on coding of Mobile Net model with Keras API.
Transfer Learning -Part 8.2: This is sub part of Part 4 where we will have hands on coding of Mobile Net model with PyTorch API.
Transfer Learning -Part 9
This part will be divided into 3 sub part and we will discuss state of the art Dense Net model.
Transfer Learning -Part 9.1: This is sub part of Part 4 where we will have hands on coding of Dense Net model with Keras API.
Transfer Learning -Part 9.2: This is sub part of Part 4 where we will have hands on coding of Dense Net model with PyTorch API.
Transfer Learning -Part 10
This is summary part of this were all contents will be gathered together in one place as a Urls.
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