Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required
In this video, we will understand why activation function is required. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required
This video explains why activation function is required in DNN. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required Exercise Solution
In this video, we will cover why activation function is required 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required Exercise Solution
This is an exercise solution video that explains why activation function is required. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - What is the Activation Function?
In this video, we will understand what the Activation function is. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
3Blue1Brown
Linear transformations and matrices: Essence of Linear Algebra - Part 3 of 15
When you think of matrices as transforming space, rather than as grids of numbers, so much of linear algebra starts to make sense.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Activation Function
This video explains about the activation function. 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 the deep...
Curated Video
Fundamentals of Neural Networks - Activation Function
This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required Exercise
In this video, we will cover why activation function is required 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required Exercise
This is an exercise video that explains why activation function is required. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
APMonitor
Data Science 🐍 Regression
Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is to minimize a loss...
APMonitor
Regression with MATLAB fmincon
A frequent activity in data science and machine learning is to develop correlations from data. By importing the data into MATLAB, data analysis such as statistics, trending, or calculations can be made to synthesize the information into...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Rectified Linear Unit (ReLU) Function
In this video, you will learn about Rectified Linear Unit (ReLU) function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Leaky Rectified Linear Unit function
In this video, you will learn about the Leaky Rectified Linear Unit function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Statistical Based Methods
In this video, we will cover statistical based methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
Deep Learning - Crash Course 2023 - Activation Functions in Deep Learning Neural Networks - Introduction
In this video, we will have a quick introduction to activation functions for deep learning neural networks. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning - Crash Course...
Packt
Fundamentals of Neural Networks - Activation Function
This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Other Activation Functions
In this video, we will cover other activation functions and replace sigmoid with tanh and ReLU. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
Curated Video
Create a machine learning model of a real-life process or object : Improving the Network with Better Activation Functions and Dropout
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Sigmoid Function
In this video, you will learn about the Sigmoid function. 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 the basics of...
Curated Video
Fundamentals of Neural Networks - Forward Propagation in RNN
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...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Regression Theory)
In this video, we will take a crash course in linear regression for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
Curated Video
Fundamentals of Machine Learning - Logistic Regression
This video explains logistic regression with a little bit of mathematics behind it. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Infinite Memory Architecture Solution
In this video, we will cover infinite memory architecture solution. 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...