Deep Learning With Tensorflow 2.0, Keras and Python

Introduction

Why deep learning is becoming so popular?

What is a neuron?

What is a Neural Network

Install tensorflow 2.0

Pytorch vs Tensorflow vs Keras

Neural Network For Handwritten Digits Classification

Activation Functions

Derivatives

Derivatives Exercise

Matrix Basics

Matrix Basics Exercise

Loss or Cost Function

Loss or Cost Function Exercise

Gradient Descent For Neural Network

Implement Neural Network In Python

Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent

Chain Rule

Tensorboard Introduction

GPU bench-marking with image classification

Customer churn prediction using ANN

Customer churn prediction using ANN Exercise

Precision, Recall, F1 score, True Positive

Dropout Regularization

Handling imbalanced dataset in machine learning

Handling imbalanced dataset in machine learning Exercise

Applications of computer vision

Simple explanation of convolutional neural network

Image classification using CNN (CIFAR10 dataset)

Image classification using CNN (CIFAR10 dataset) Exercise

Convolution padding and stride

Data augmentation to address overfitting

Transfer Learning

Image classification vs Object detection vs Image Segmentation

Popular datasets for computer vision: ImageNet, Coco and Google Open images

Sliding Window Object Detection

What is YOLO algorithm?

Object detection using YOLO v4 and pre trained model

What is Recurrent Neural Network (RNN)?

Types of RNN | Recurrent Neural Network Types

Vanishing and exploding gradients

Simple Explanation of LSTM

Simple Explanation of GRU (Gated Recurrent Units)

Bidirectional RNN

Converting words to numbers, Word Embeddings

Word embedding using keras embedding layer

What is Word2Vec?

Implement word2vec in gensim

Distributed Training On NVIDIA DGX Station A100

Tensorflow Input Pipeline

Tensorflow Input Pipeline Exercise

Optimize Tensorflow Pipeline Performance