This video explains padding in convolutional neural networks.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks...

The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...

This video explains what we mean by Tensor and Matrix.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where...

This video explains image data in CNN (Convolutional Neural Network).
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural...

This video demonstrates how to build a deeper and wider neural network model.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...

This video explains the optimization problem using the gradient descent algorithm.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial...

This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary.
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This clip is from the chapter "Artificial Neural Networks" of the series...

This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural...

This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural...

This video explains forward propagation and will dive deeper into the architecture of neural networks.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section...

This video explains the purpose of neural networks.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will...

This video explains logistic regression and specifically if the target here is discrete or binary.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section...

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

This video explains the course outline and what the course has to offer.<br<br/>/>

This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course outline.

This video explains the need for taking up the course and introduces you to the author.
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This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the...

This video will do the stationarity check on your data.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting...

This video displays how to do data manipulation using a deep learning model.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to...

This video demonstrates the plotting of the monthly birth distribution and birth rate.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical...

This video helps you with an overview of the dataset.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting...

This video provides an overview of the project.
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This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting Using...

This video helps you with the execution of BiLSTM and Stacked BiLSTM on data.
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This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries...

This video explains the implementation of LSTM and its errors.
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This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using...

This video explains how to do dataset division.
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This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...

This video displays how to do data manipulation using a deep-learning model.
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This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries...