Все публикации

0:07:33

Bidirectional RNN | Deep Learning | In-depth Explanation & Equations

0:14:59

Gated Recurrent Unit | GRU | Explained in detail

0:51:35

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

0:17:19

Facial Landmark Detection | OpenCV | Python | Mediapipe

0:27:51

Emoji Prediction | LSTM in Tensorflow | Implementation

0:24:28

Part 2 | Python | Training Word Embeddings | Word2Vec |

0:09:38

Part 1 | Training Word Embeddings | Word2Vec

0:10:09

Word Embedding Python | RNN | Detailed Explanation

0:19:32

LSTM Recurrent Neural Network (RNN) | Explained in Detail

0:08:50

Backpropagation in RNN | Backpropagation through time

0:08:33

RNN Model Details | Recurrent Neural Networks | Deep Learning

0:05:35

Types of Recurrent Neural Networks (RNNs)

0:07:09

What is Recurrent Neural Network in Deep Learning? | RNN

0:17:56

Image Classification using CNN Keras | Full implementation

0:03:41

What is Keras and Tensorflow | Keras vs Tensorflow

0:07:20

Why use Tensorflow? Explaining Tensorflow and why to use it

0:19:31

Backpropagation in CNN - PART 2

0:20:03

Backpropagation in CNN - Part 1

0:12:30

CNN architecture | Explaining the Architecture of CNN

0:04:30

Fully Connected Layer in CNN

0:07:36

Max Pooling in Convolutional Neural Network

0:03:45

Stride in Convolutional Neural Network (CNN)

0:04:10

Padding in Convolutional Neural Network

0:10:58

Convolution Operation in CNN