45 Lectures | 1hr : 11min
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
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
GPU bench-marking with image classification
Customer churn prediction using ANN
Customer churn prediction using ANN Exercise
Precision, Recall, F1 score, True Positive
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
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)
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
This course uses a project-based learning approach to teach you Python using two real-life projects (1) Hospitality domain data analysis and (2) Medical data extraction. Learning Python programming through projects helps you understand real-life applications of this awesome programming language. You will also have two solid projects that you can add to your resume and you work on end-to-end implementation. Total beginners, as well as people familiar with the language, will benefit from this Python course.
This practical beginner’s course lets you learn Power BI from scratch, preparing you for the data analyst, business analyst, or Power BI developer job market. The course provides an end-to-end Power BI project, carefully curated to offer you real organizational experience and business context.