51:35

Deep Neural Network Python from scratch | L layer Model | No Tensorflow

17:19

Facial Landmark Detection | OpenCV | Python | Mediapipe

27:51

Emoji Prediction | LSTM in Tensorflow | Implementation

24:28

Part 2 | Python | Training Word Embeddings | Word2Vec |

09:38

Part 1 | Training Word Embeddings | Word2Vec

10:09

Word Embedding Python | RNN | Detailed Explanation

19:32

LSTM Recurrent Neural Network (RNN) | Explained in Detail

08:50

Backpropagation in RNN | Backpropagation through time

08:33

RNN Model Details | Recurrent Neural Networks | Deep Learning

05:35

Types of Recurrent Neural Networks (RNNs)

07:09

What is Recurrent Neural Network in Deep Learning? | RNN

17:56

Image Classification using CNN Keras | Full implementation

03:41

What is Keras and Tensorflow | Keras vs Tensorflow

07:20

Why use Tensorflow? Explaining Tensorflow and why to use it

19:31

Backpropagation in CNN - PART 2

20:03

Backpropagation in CNN - Part 1

12:30

CNN architecture | Explaining the Architecture of CNN

04:30

Fully Connected Layer in CNN

07:36

Max Pooling in Convolutional Neural Network

03:45

Stride in Convolutional Neural Network (CNN)

04:10

Padding in Convolutional Neural Network

10:58

Convolution Operation in CNN

06:05

What is CNN in deep learning? Convolutional Neural Network Explained

18:49

Optimization in Deep Learning | All Major Optimizers Explained in Detail

05:05

Adam Optimizer Explained in Detail | Deep Learning

06:11

RMSprop Optimizer Explained in Detail | Deep Learning

11:17

Momentum Optimizer in Deep Learning | Explained in Detail

09:09

Exponentially Weighted Moving Average or Exponential Weighted Average | Deep Learning

08:04

Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent

14:54

Dropout in Neural Network | Detailed Explanation with implementation in Python from Scratch

16:13

L2 Regularization neural network in Python from Scratch | Explanation with Implementation

04:30

Regularization in Deep Learning | How it solves Overfitting ?

07:40

Overfitting and Underfitting in Machine Learning | Understanding Bias and Variance

26:14

Neural Network python from scratch | MultiClass Classification with Softmax

12:03

Backpropagation for Softmax and Multi-Class Classification | Complete Mathematical Derivation

21:05

Derivation of Backpropagation in Neural Network

10:02

Cost Function in Neural Network | Types of Cost function we use in different applications

12:05

What is Activation function in Neural Network ? Types of Activation Function in Neural Network

10:06

Forward Propagation and Backward Propagation | Neural Networks | How to train Neural Networks

08:07

How Neural Networks work in Machine Learning ? Understanding what is Neural Networks

06:54

Supervised Learning Example | Explaining Supervised Learning with Example

11:46

Logistic Regression in Python from Scratch | Simply Explained

09:59

3 Reasons Machine Learning is Difficult !

04:44

Logistic Regression Gradient Descent | Derivation | Machine Learning

08:34

Derivative of Cost function for Logistic Regression | Machine Learning

06:22

Logistic Regression Cost Function | Machine Learning | Simply Explained

06:37

Logistic Regression Machine Learning Example | Simply Explained

16:29

Multiple Linear Regression in Python from Scratch | Explained Simply

13:15

Linear Regression in Python from Scratch | Simply Explained

24:10

Complete | What is Linear Regression Machine Learning ?

17:59

Linear Regression Gradient Descent | Machine Learning | Explained Simply

05:42

Linear Regression Cost Function | Machine Learning | Explained Simply

06:23

What is Linear Regression in Machine Learning ? Understand with Examples !

04:46

Artificial Intelligence Vs Machine Learning Vs Data Science Vs Deep Learning | Explained Simply