The Nobel Prize in Physics was awarded to two scientists on Tuesday for discoveries that laid the groundwork for the artificial intelligence used by hugely popular tools such as ChatGPT.
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
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Neural networks explained: Forward and backward propagation simplified
In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...
Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
Video data constitutes the majority of data traffic over the internet today. As demand for video content has become ubiquitous, so has the need for video broadcasting and streaming at better qualities ...
Two scientists awarded for discoveries that laid the groundwork for AI Paris: The Nobel Prize in Physics was awarded to two scientists on Tuesday for discoveries that laid the groundwork for the ...
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