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Fundamentals of Neural Networks - Forward Propagation
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1
In this video, you will learn about maximum likelihood with the help of an example. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. 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 Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Exercise Solution
In this video, we will cover machine learning model exercise solution. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Exercise
In this video, we will cover machine learning model exercise. 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 Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 3
In this video, we will cover machine learning model 3. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
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KS2 Primary English Age 9-13 - Reading: Making Predictions - Explained
SchoolOnline's Primary English videos are brilliant, bite-size tutorial videos delivered by examiners and skilled teachers. Ideal for ages 9-13, they cover every key skill in English Reading and Writing that students need to master in...
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No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Predicting Data and Validating Accuracy
In this video, you will learn how to predict data and validate the accuracy. This clip is from the chapter "Project 2 - Spam SMS Detection" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we...
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Python In Practice - 15 Projects to Master Python - Testing the Performance of the Model
This video helps in testing the performance of the model. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with Python.
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Python In Practice - 15 Projects to Master Python - Asking the Model to Make Predictions - Flavor Predictor
This video helps in asking the model to make predictions. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
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Python In Practice - 15 Projects to Master Python - Asking the Model to Make Predictions - Machine Learning with Python
This video talks about asking the model to make predictions. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with...
Packt
Fundamentals of Neural Networks - Why Use RNN
A Recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential characteristics and use patterns to predict the...
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Fundamentals of Neural Networks - Gated Recurrent Unit (GRU)
Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks. GRUs have been shown to exhibit better performance on certain smaller and less frequent datasets. This clip is from the chapter "Recurrent Neural Networks"...
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Fundamentals of Neural Networks - Bi-Directional RNN
Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. BRNNs are especially useful when the context of the input is needed. For example, in handwriting recognition, the...
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Fundamentals of Neural Networks - Backward Propagation Through Time
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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Perceptron Algorithm
In this video, we will understand how the perceptron algorithm works. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network 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 be...
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Deep Learning - Deep Neural Network for Beginners Using Python - Cross Entropy Implementation
In this video, you will learn how to implement cross entropy in our code. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Coding Perceptron Algo (Perceptron Step)
In this video, we will work on the perceptron algorithm and learn how to code for perceptron step. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Scoring Validation Dataset Using Code
This video helps you with scoring validation dataset using code. This clip is from the chapter "SAS Predictive Modeling, Evaluation Metrics" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN What is Loss Function
In this video, we will understand what is loss function. 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 Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02
In this video, we will cover fixed length memory model exercise solution part 02. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Activity
In this video, we will cover activity. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
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Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model Text Generation
In this video, we will cover modelling RNN model text generation. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...