In this video, you will learn how to train our neural network.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper...

In this video, you will learn how to implement logistic regression.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive...

In this video, we will break down the gradient step and learn how to update weight and biases.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...

One of the worst forms of torture was not even considered torture by the court. It was an official sentence: pressing to death. The men and women who were sent to death by crushing in Britain had not been found guilty of any crime.

In this video, you will learn about backpropagation in neural networks.
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This clip is from the chapter "Propagation of Information in ANNs" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

In this video, we will have a quick introduction to the neural network.
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This clip is from the chapter "Artificial Neural Networks (ANN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

This video talks about depth and why it is required.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the...

This is a solution video on weight initialization.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview...

This is a solution video on Rprop and momentum.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...

This video demonstrates the DNN architecture.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...

This video explains about the activation function.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview...

In this video, we will understand what Gradient Descent is.
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This clip is from the chapter "Gradient Descent Algorithm" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will...

In this video, we will understand how artificial neural networks work.
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This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

In this final part, we will test our model.
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This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be working on our final...

In this video, we will cover language modelling next word prediction RNN architecture.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning...

In this video, we will cover number of neurons versus number of layers.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover Universal Approximation Theorem.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...

This is a solution video on why derivatives.<br<br/>/>

This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.

This video explains why we need convolution.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep...

This video showcases some practical tips.<br<br/>/>

This clip is from the chapter "Transfer Learning" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on transfer learning.

This is fifth of the five-part video on implementation in NumPy BackwardPass.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section...

In this video, you will learn how to add the input layer and the first hidden layer.
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This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in...

This video explains regression problems.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.