In this notebook, I will build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline!
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May 22, 2020 - Jupyter Notebook
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deep-neural-network
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
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Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
natural-language-processing embeddings lstm dropout regularization transfer-learning optimization-methods convolutional-neural-network data-augmentation bidirectional-lstm recurrent-neural-network initialization deep-neural-network time-series-forecasting neural-transfer
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Aug 28, 2021 - Jupyter Notebook
5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera
deep-learning neural-network notebook tensorflow optimization numpy keras cnn pandas interview dropout hyperparameter-optimization logistic-regression regularization convolutional-neural-networks hyperparameter-tuning andrew-ng deeplearning-ai deep-neural-network lecture-topics
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Jan 30, 2020 - Jupyter Notebook
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