Deep Learning Full Course 2025 | Deep Learning Tutorial for Beginners [4 Hours] – 2024 Edition
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TimeStamps:
00:00:00 – Deep Learning Course 2025 Introduction
00:02:20 – What is Deep Learning?
00:12:53 – What is Neuron & Neural Networks, Types of Deep Learning Networks?
00:20:45 – What is Single Layer Perceptron & How to use it?
00:30:24 – Perceptron Work
00:41:01 – What is Multilayer Perceptron and Notation ( ANN ) & How to use it?
00:51:45 – Forward Propagation and Back propagation
01:15:35 – Activation Functions for Neural Networks
01:27:51 – What is Loss Functions & How to use it?
01:51:22 – Optimizer in Neural Network
01:59:39 – Customer Churn Prediction using ANN (Artificial Neural Network)
02:19:58 – Improve the Performance of a Neural Network
02:26:52 – Identify Overfitting in Deep Learning (Early Stopping , Regularization)
02:50:28 – What is Batch Normalization & How to use it?
02:59:11 – What is Dropout Layer & How to use it?
03:14:05 – Vanishing Gradient Problem
03:22:40 – Hyperparameter Tuning
03:34:31 – Convolutional Neural Network
03:45:12 – What is Convolutional, Pooling, Flattening
04:02:51 – Convolutional Neural Network (Practical)
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