27 тысяч подписчиков
56 видео
Multiple Linear Regression in Python from Scratch | Explained Simply
Logistic Regression in Python from Scratch | Simply Explained
What is Keras and Tensorflow | Keras vs Tensorflow
Optimization in Deep Learning | All Major Optimizers Explained in Detail
Deep Neural Network Python from scratch | L layer Model | No Tensorflow
LSTM Recurrent Neural Network (RNN) | Explained in Detail
Neural Network python from scratch | MultiClass Classification with Softmax
L2 Regularization neural network in Python from Scratch | Explanation with Implementation
Overfitting and Underfitting in Machine Learning | Understanding Bias and Variance
Logistic Regression Gradient Descent | Derivation | Machine Learning
Fully Connected Layer in CNN
Supervised Learning Example | Explaining Supervised Learning with Example
Image Classification using CNN Keras | Full implementation
Backpropagation in RNN | Backpropagation through time
Backpropagation for Softmax and Multi-Class Classification | Complete Mathematical Derivation
Gated Recurrent Unit | GRU | Explained in detail
How Neural Networks work in Machine Learning ? Understanding what is Neural Networks
RMSprop Optimizer Explained in Detail | Deep Learning
RNN Model Details | Recurrent Neural Networks | Deep Learning
What is Recurrent Neural Network in Deep Learning? | RNN
CNN architecture | Explaining the Architecture of CNN
Facial Landmark Detection | OpenCV | Python | Mediapipe
Part 1 | Training Word Embeddings | Word2Vec
Emoji Prediction | LSTM in Tensorflow | Implementation
Backpropagation in CNN - Part 1
3 Reasons Machine Learning is Difficult !
Adam Optimizer Explained in Detail | Deep Learning
Bidirectional RNN | Deep Learning | In-depth Explanation & Equations
Complete | What is Linear Regression Machine Learning ?
Momentum Optimizer in Deep Learning | Explained in Detail
Convolution Operation in CNN
What is Activation function in Neural Network ? Types of Activation Function in Neural Network
Regularization in Deep Learning | How it solves Overfitting ?
Max Pooling in Convolutional Neural Network
Derivation of Backpropagation in Neural Network
Why use Tensorflow? Explaining Tensorflow and why to use it
Exponentially Weighted Moving Average or Exponential Weighted Average | Deep Learning
Forward Propagation and Backward Propagation | Neural Networks | How to train Neural Networks
Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent
Linear Regression in Python from Scratch | Simply Explained
Stride in Convolutional Neural Network (CNN)
Part 2 | Python | Training Word Embeddings | Word2Vec |
Positional Encoding in Transformers | Deep Learning
Dropout in Neural Network | Detailed Explanation with implementation in Python from Scratch
Logistic Regression Machine Learning Example | Simply Explained
Padding in Convolutional Neural Network
Simplest explanation of Layer Normalization in Transformers
Derivative of Cost function for Logistic Regression | Machine Learning
What is CNN in deep learning? Convolutional Neural Network Explained
Linear Regression Cost Function | Machine Learning | Explained Simply
