Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture Exercise
This is an exercise video on DNN architecture. 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 foundation for deep...
Packt
Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 2
In this part, we will work on the initialization functions and the feedforward. 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...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Layers and DEEP Networks
In this video, you will learn about layers and DEEP networks. 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...
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
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Perceptron
In this video, we will cover Perceptron. 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 section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN ForwardStep Implementation
In this video, we will cover DNN ForwardStep implementation. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture Exercise Solution
In this video, we will cover DNN architecture 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 Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture Exercise
In this video, we will cover DNN architecture 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 section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Architecture
In this video, we will cover DNN architecture. 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 section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Why Depth
In this video, we will understand why depth. 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 section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Feedforward Fully Connected MLP
In this video, we will cover Feedforward fully connected MLP. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Deep Neural Network Architecture
In this video, we will cover deep neural network architecture. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Decision Boundary in DNN
In this video, we will cover decision boundary in DNN. 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 section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Calculating Number of Weights of DNN
In this video, we will cover calculating number of weights of DNN. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Why Convolution
In this video, we will understand why convolution. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN What is Loss Function Exercise Solution
In this video, we will cover what is loss function 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 Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations
In this video, we will cover equations. 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...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - Deep Learning 101
This video explains the concept of machine learning in detail. This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS Certified Data Analytics...
Curated Video
016 The Release of Neurotransmitter
When the action potential reaches the axon terminal, this triggers a series of events that result in the release of neurotransmitter to the synaptic cleft. Neurotransmitters bind to the receptors on the postsynaptic membrane causing a...
Curated Video
How the Nervous System ACTUALLY Works (EASY!)
The nervous system is the control center of the body. But how does it actually work? In this video, we discuss what the nervous system does, the divisions of the nervous system, and how certain functions (like vision and reflexes) work.
Curated Video
002 An Introduction to Neurons
BioVid Episode 2 - An Introduction to Neurons. In this video, I talk about what a neuron is, the parts of a neurons and then talk about the three types of neurons.
Curated Video
007 What is an action Potential
In this episode, I answer a question that is fundamental to our understanding of the nervous system. That question is - What is an action potential/nerve impulse. Action potentials are the signals that are sent throughout the nervous...
Curated Video
004 Ion Channels: Proteins in the Membrane of Neurons
In this video, I go through the details of the 4 types of proteins in the membrane of neurons: The passive/leakage ion channels, Sodium Potassium pump, Voltage-gated ion channels and ligand-gated ion channels