What is Deep Learning & How Does It Work? Fully Explained | Deep Learning Tutorial - 01

What is Neuron and Neural Networks? Types of Deep Learning Networks | Deep Learning Tutorial - 02

What is Single Layer Perceptron? (Python, Scikit Learn, Keras) | Deep Learning Tutorial - 03

How Perceptron Works in Deep Learning: A Step-by-Step Tutorial | Learn Deep Learning - 04

What is Multilayer Perceptron & Notation in Neural Networks? | Deep Learning Tutorial - 05

Forward Propagation and Backward Propagation in Neural Network | Deep Learning Tutorial - 06

Activation Function in Neural Network (Types, Importance & Working) | Deep Learning Tutorial - 07

What is Loss Functions in Neural Networks & Deep Learning (L1 & L2) | Deep Learning Tutorial - 08

Optimization Techniques in Neural Networks (All Major Optimizers Explained) | Learn Deep Learning 09

Customer Churn Prediction using ANN (Scikit Learn, Keras & Python) | Deep Learning Tutorial 10

Improving Performance of a Neural Network (Python, Scikit Learn, Keras) | Deep Learning Tutorial 11

How to Identify Overfitting? (Early Stopping , Regularization) | Deep Learning Tutorial 12

Batch Normalization: How to Implement (Python, Scikit Learn, Keras) | Deep Learning Tutorial 13

What is Dropout Layer in Neural Network? (Python, Scikit Learn, Keras) | Deep Learning Tutorial 14

Vanishing Gradient Problem Explained (Python, Scikit Learn, Keras) | Deep Learning Tutorial 15

What is Hyper Parameter Tuning? (Python, Scikit Learn, Keras) | Deep Learning Tutorial 16

Convolutional Neural Network Explained with Example (Python and Keras) | Deep Learning Tutorial 17

What is Convolutional, Pooling, Flattening? Explained (Python & Keras) | Deep Learning Tutorial 18

Convolutional Neural Network Explained with Project (Python and Keras) | Deep Learning Tutorial 19