Sequence-Sequence LSTM model — LSTM and GRU models are variants of RNN. The RNN models are much easier to understand when compared to LSTM and GRU units. The beauty in understanding base concept is that, the learnings can be leveraged into LSTM and GRU units. There are many types of RNN/LSTM models and the…

Decoding the total number of trainable parameters — The most important aspect is to understand the trainable parameters in any deep network model. Why is it important to understand the trainable parameters? It helps in the understanding of how the algorithm is being implemented. The simplest answer is that a model is built to find the best weights (trainable parameters) — so it doesn’t make sense to…

Where are we heading with AI? — A couple of days back, I am reading technology news and found that Geoffery Hinton resigned from Google. Initially when I heard the news,

A Superhydrophobic sensor that works with the help of sweat — About Sweat For humans, the body temperature would be 37°C. When the hypothalamus senses that it is beyond 37°C (hot), it sends signals to your sweat glands to make you sweat and cool you off. …

A material that can remember similar to that of the Brain — In the past year or two, generative AI models like ChatGPT and DALL-E have made it feasible to generate enormous amounts of high-quality, creative content that appears to be created by humans from a limited set of prompts. Current AI systems are not as intelligent as humans are, despite being…

Will the Internet be everything by the next decade? — You are passing by a sugar candy shop and want to grab a few and have it but you are on a diet — if your bitter-tasted protein intake tastes the same as a sugar candy? — you would be so happy, isn’t it? Your friend from abroad (who is…

It is the difference between Natural and Artificial — ARTIFICIAL Intelligence — The name itself says that it is NOT Natural, when there is no natural instinct or thought, then there will be NO ETHICS. The motive behind AI is to replicate the human mind. AI Researchers and Neuroscientists have collaborated to understand the working of the human brain…

One of the popular generative models — GAN (Generative adversarial networks) is one of the most popular generative models. With the hype around the generative model, it is better to understand GAN to gain insight into how generative models are designed. …

One of the components of system design — This is a self-note article and if found wanted to connect the dots and understand it, they could benefit from it. We are in a technology-driven fast paced world. So, understanding technology is inevitable and every company’s motive is to build products to cater to the needs of the people…