Tensorflow Basics in 5 Minutes | Machine Learning

TensorFlow 2.0 - Introductory Tutorial

Build a Simple Neural Network with TensorFlow 2.0 in Google Colab

Linear Regression with TensorFlow 2.0

Derivative of the Sigmoid Activation function | Deep Learning

Pros & Cons of Sigmoid Activation Function

Tanh Vs Sigmoid Activation Functions in Neural Network

Rectified Linear Unit (ReLU) Activation Function

Leaky ReLU Activation Function in Neural Networks

Why is ReLU a Non-Linear Activation function?

Importance of Data Normalization in Deep Learning

Vanishing Gradient explained using Code!

L2 Regularization with Keras to Decrease Overfitting in Deep Neural Networks

Advantages of Xavier Initialization in Deep Neural Networks

Early Stopping in Keras to Prevent Overfitting in Neural Networks

Why dont we initialise the weight of a neural network to Zero? Weight Initialization in Deep Network

Dropout in Keras to Prevent Overfitting in Neural Networks

Batch Normalization in Tensorflow/Keras

Creating Custom Callbacks in Keras

Accelerating Gradient Descent with Momentum

Nesterov's Accelerated Gradient

Understanding RMSProp Optimization Algorithm Visually

Adam Optimizer or Adaptive Moment Estimation Optimizer

Softmax Function in Deep Learning

Derivative of the Tanh Activation function | Deep Learning