Training

DEEP LEARNING SERIES- PART 8

The previous article was about the padding, stride, and parameters of CNN. This article is about the pooling and the procedure to build an image classifier. Pooling This is another aspect of CNN. There are different types of pooling like min pooling, max pooling, avg pooling, etc. the process is […]

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DEEP LEARNING SERIES- PART 7

The previous article was about the process of convolution and its implementation. This article is about the padding, stride and the parameters involved in a CNN. We have seen that there is a reduction of dimension in the output vector. A technique known as padding is done to preserve the […]

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DEEP LEARNING SERIES- PART 6

The previous article was about the procedure to develop a deep learning network and introduction to CNN. This article concentrates on the process of convolution which is the process of taking in two images and doing a transformation to produce an output image. This process is common in mathematics and […]

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DEEP LEARNING SERIES- PART 5

The previous article was on algorithm and hyper-parameter tuning. This article is about the general steps for building a deep learning model and also the steps to improve its accuracy along with the second type of network known as CNN. General procedure to build an AI machine Obtain the data […]

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DEEP LEARNING SERIES- PART 4

The previous article dealt with the networks and the backpropagation algorithm. This article is about the mathematical implementation of the algorithm in FFN followed by an important concept called hyper-parameter tuning. In this FFN we apply the backpropagation to find the partial derivative of the loss function with respect to […]

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DEEP LEARNING SERIES- PART 3

The previous article gave some introduction to the networks used in deep learning. This article provides more information on the different types of neural networks. In a feed-forward neural network (FFN) all the neurons in one layer are connected to the next layer. The advantage is that all the information […]

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DEEP LEARNING- PART 2

The previous article gave a brief introduction to deep learning. This article deals with the networks used in deep learning. This network is known as a neural network. As the name suggests the network is made up of neurons The networks used in artificial intelligence are a combination of blocks […]

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DEEP LEARNING SERIES- PART 1

Have you ever wondered how the brain works? One way of understanding it is by cutting open the brain and analyzing the structures present inside it. This however can be done by researchers and doctors. Another method is by using electricity to stimulate several regions of the brain. But what […]

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Internship & The Role of an Intern

What is an internship? An internship is a period of work experience offered by an organization for a limited period of time. They are typically undertaken by students and graduates looking to gain relevant skills and experience in a particular field. An internship consists of an exchange of services for […]

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IMMUNOLOGY SERIES- PART 9- VACCINES

The previous article was all about the process of inflammation. This article is about vaccines. The vaccines fall under the type of artificial active acquired immunity. This is artificial because we are giving the vaccine externally and this is active because the body is generating the antibodies/response and it is […]

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