Memory is crucial to survival. But do we even know, what memory is? Rad challenges neuroscientist, Dr Yee Lian Chew, to explain in an elevator ride.

From skiing down a steep mountain, to playing the piano, the nervous system enables us to accomplish remarkable tasks. This video focuses on the amazing structures in the nervous system that allows humans to maintain and carry out a wide...

How 'free' are you? Professor Patrick Haggard explains the differences between determinism and free will and we look at behavioural, psychic and neurological determinism. We then reconstruct Libet's seminal experiment showing that brain...

In this video, you will learn about the anatomy and function of neurons.
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This clip is from the chapter "Artificial Neural Networks (ANN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

Glial cells are various types of brain cells. There are 3 main types of glial cells - astrocytes, oligodendrocytes, and microglial cells. These cells protect neurons, help neurons pass information, and keep the brain healthy. These group...

In this episode I talk about the isoelectric point of proteins and why that causes the proteins inside the neuron to have a negative charge.

In this video, we will cover DNN gradient descent summary.
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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...

In this video, we explore the fascinating control center of our bodies - the brain. We learn about reflexes, motor systems, and the various motor areas in the brain that allow for precise voluntary control. Additionally, we discover the...

Decades of scientific research into Alzheimer’s have failed to find a cure. Little is known about the degenerative brain disease—but this may be about to change.

This video explains about the Universal Approximation Theorem.
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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...

This video explains calculating number of weights of DNN.
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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...

In this video, we will cover DNN implementation gradient step.
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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...

In this video, we will cover DNN Dropout.
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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,...

In this video, we will cover Neuron and Perceptron.
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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...

In this video, you will learn about multi-class classification.
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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...

In this video, we explore the following: [1] the basic mechanism for hormone synthesis and release by the Posterior Pituitary [Neurohypophysis] [2] contrast this to the function of the anterior pituitary [3] basic functions of oxytocin...

In this video, you will learn how to add the next hidden layer.
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This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you...

This video talks about depth and why it is required.
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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...

This video talks about the FeedForward FullyConnected MLP.
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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...

This video explains about the activation function.
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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...

This video demonstrates the DNN architecture.
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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...

In this video, we will understand how artificial neural networks work.
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This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...

This video explains about changing policy architecture.
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This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...

This is a summary video on gradient descent.
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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...