Instructional Video18:26
Packt

Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network

Higher Ed
This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Instructional Video21:13
Packt

Fundamentals of Neural Networks - Lab 2 - Introduction to CNN

Higher Ed
This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in...
Instructional Video15:25
Packt

Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification

Higher Ed
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Instructional Video12:45
Packt

Fundamentals of Neural Networks - Gradient Descent

Higher Ed
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Instructional Video11:23
Packt

Fundamentals of Neural Networks - Forward Propagation in RNN

Higher Ed
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
Instructional Video9:47
Packt

Fundamentals of Neural Networks - Cross-Entropy Loss Function

Higher Ed
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Instructional Video9:32
Packt

Fundamentals of Neural Networks - Backward Propagation Through Time

Higher Ed
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Instructional Video3:28
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Testing (NN Implementation)

Higher Ed
In this video, you will learn how to test our neural network. 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 into deep...
Instructional Video3:19
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - L1 and L2 Regularization

Higher Ed
In this video, we will discuss L1 and L2 regularization. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
Instructional Video13:05
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3

Higher Ed
In this part, we will work on the sigmoid, backpropagation, and train functions. 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...
Instructional Video4:01
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Early Stopping

Higher Ed
In this video, we will look at a possible solution, which is early stopping. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
Instructional Video4:40
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Modify Ingestion Pipeline to Use the Email Utility Pipeline

Higher Ed
This video helps you modify the ingestion pipeline to use the email utility pipeline. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to...
Instructional Video16:53
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Making the Email Notifications Dynamic

Higher Ed
This video demonstrates making the email notifications dynamic. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven Ingestion
Instructional Video10:53
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Making Logging of Pipeline Information Dynamic

Higher Ed
This video shows how to make the logging of pipeline information dynamic. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven...
Instructional Video8:20
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Fixing the Duplicating Batch Ingestions

Higher Ed
This video explains fixing the duplicating batch ingestions. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven Ingestion
Instructional Video2:31
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Explaining the Get Email Addresses Stored Procedure

Higher Ed
This video explains the get email addresses stored procedure. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven Ingestion