Youtor
Coding a Full Neural Network from Scratch in Python Deep Learning
YOUR LINK HERE:
http://youtube.com/watch?v=tysgyg9hTZ0
In this lecture, we build a Multi Layer Neural network in python with just numpy as our core dependency. • We start with a visual theory session where we visualize how a neural network works and introduce the idea of a layer in a neural network. Then we visually explore a couple of network architectures • Next, we start with a single neuron we have previously covered but with a tanh activation function. • Finally we manually connect neurons into Layers. Next we build the layers and finally assemble layers into a neural network. We run both the network through a forward and backward pass. • • This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University. • Chapters: • 00:00:00 Intro • 00:01:26 A Layer in a Neural Network • 00:06:30 Input, Output and Hidden Layers • 00:08:35 Review of Tanh Neuron • 00:10:45 Neural Network Example 1 • 00:17:00 Neural Network Example 2 • 00:33:45 Building the Neuron in Python • 00:42:45 Assembling the Neurons Manually • 01:02:30 Creating the Layer Class • 01:25:00 Creating the Network Class • • Relevant References: • Neural Network Related • Building a Single Neuron Model - • Coding a Single Neuron Learning Model... • Understanding Backpropagation - • How Backpropagation works | A visual ... • Relevant Previous Videos • Setting up Anaconda and Jupyter Notebooks : Setting up Python with Anaconda and Using Jupyter Notebooks | A Quick Start • Math Prerequisites • Basics of Derivatives : • Basics of Derivatives | A Review | Ma... • What is Chain Rule : • What is Chain Rule | A Review | Math ... • #artificialintelligence #deeplearning #neuralnetworks #python #nnfs #machinelearning
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