The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
Introduction to Deep Learning
Basic Computer Vision
Neurons & Perceptron
Activation Function
Gradient Descent
Stochastic Gradient Descent
Backpropagation
Artificial Neural Network – Project 1
Optimization Algorithms – SGD, Momentum, NAG, Adagrad, Adadelta , RMSprop, Adam
Batch Normalization
Hyperparameter tuning
Interpretability
Deep Neural Network – Project 2
Network from Scratch – Tensorflow & Keras – Project 4
Custom Image Classification using Transfer Learning – Project 5
YOLO Object recognition – Project 6
Image Segmentation – Project 7
Project using MxNet – Project 8
Project using PyTorch – Project 9
Social Distancing detector – Project 10
Face Mask detector – Project 11
Introduction to RNN and LSTM
Project using RNN – Project 12
Introduction CUDA Toolkit and cuDNN for deep learning
Getting started with the Intel Movidius Neural Compute Stick – Project 13
Custom Object classification using Nvidia Jetson – Project 14
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