Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Text classification and segmentation are very common problems of all businesses. In this process of text classification (or segmentation), we need to convert text into numbers and use machine learning or deep learning algorithms. Let us try to analyze the process of converting word into numbers (better known as word embedding). Word embedding is a […]
Continue ReadingSpeech as Data The first step while making any automated speech recognition system is to get the features. In other words, identifying the components of the audio wave that are useful for recognizing the linguistic content and deleting all the other useless features that are just background noises is the first task. In humans, the […]
Continue ReadingYou might not realize, but almost all modern technologies that are being used have some form of artificial intelligence. Even for simple tasks such as going through a social media news feed, searching for a specific term on a search engine, buying from e-Commerce websites, or even while watching videos or listening to music […]
Continue ReadingThe globalization of the cyber world is increasing at an exponential fold. In past couple of years, this shift towards digitization has given access to almost every possible service one can imagine on fingertips. However, the flip side of it is, we end up releasing more information than we should, and it can […]
Continue ReadingWhy TensorFlow? You must be wondering if we need to know TensorFlow. You must seek reasons to accept and adopt Tensorflow. Here is the answer. Since the world is focusing on Artificial Intelligence in some way or other, Deep Learning as the best component of Artificial Intelligence is going to take the centre stage. Deep […]
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