Deep Learning With Tensorflow 2.0, Keras and Python

1.1: Introduction

1.2: Why deep learning is becoming so popular?

1.3: What is a neuron?

1.4: What is a Neural Network

1.5: Install tensorflow 2.0

1.6: Pytorch vs Tensorflow vs Keras

1.7: Neural Network For Handwritten Digits Classification

1.8: Activation Functions

1.9: Derivatives

1.10: Derivatives Exercise

1.11: Matrix Basics

1.12: Matrix Basics Exercise

1.13: Loss or Cost Function

1.14: Loss or Cost Function Exercise

1.15: Gradient Descent For Neural Network

1.16: Implement Neural Network In Python

1.17: Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent

1.18: Chain Rule

1.19: Tensorboard Introduction

1.20: GPU bench-marking with image classification

1.21: Customer churn prediction using ANN

1.22: Customer churn prediction using ANN Exercise

1.23: Precision, Recall, F1 score, True Positive

1.24: Dropout Regularization

1.25: Handling imbalanced dataset in machine learning

1.26: Handling imbalanced dataset in machine learning Exercise

1.27: Applications of computer vision

1.28: Simple explanation of convolutional neural network

1.29: Image classification using CNN (CIFAR10 dataset)

1.30: Image classification using CNN (CIFAR10 dataset) Exercise

1.31: Convolution padding and stride

1.32: Data augmentation to address overfitting

1.33: Transfer Learning

1.34: Image classification vs Object detection vs Image Segmentation

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

1.36: Sliding Window Object Detection

1.37: What is YOLO algorithm?

1.38: Object detection using YOLO v4 and pre trained model

1.39: What is Recurrent Neural Network (RNN)?

1.40: Types of RNN | Recurrent Neural Network Types

1.41: Vanishing and exploding gradients

1.42: Simple Explanation of LSTM

1.43: Simple Explanation of GRU (Gated Recurrent Units)

1.44: Bidirectional RNN

1.45: Converting words to numbers, Word Embeddings

1.46: Word embedding using keras embedding layer

1.47: What is Word2Vec?

1.48: Implement word2vec in gensim

1.49: Distributed Training On NVIDIA DGX Station A100

1.50: Tensorflow Input Pipeline

1.51: Tensorflow Input Pipeline Exercise

1.52: Optimize Tensorflow Pipeline Performance