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Matrix fundamentals are essential to understand how In this video, we will see how you can think of a logistic regression as a neuron. We will use insurance dataset as a sample and ... Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem. Loss or a cost function is an important concept we need to understand if you want to grasp how a neural network trains itself. What is BERT (Bidirectional Encoder Representations From Transformers) and how it is used to solve NLP tasks? This video ...
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What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)
Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)
Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)
Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
Recurrent Neural Networks (RNN) - Deep Learning w/ Python, TensorFlow & Keras p.7
Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)
Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python)
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