Students
65
Lectures
52
Course Duration
Unlimited Duration
Updated
August 12, 2022
A recurrent neural network is a class of artificial neural networks where connections between nodes form a directed or undirected graph along a temporal sequence. This allows it to exhibit temporal dynamic behavior.
Ayesha Tahir
0
8
Courses
389
Students
Recurrent neural networks (RNN) are a class of neural networks that are helpful in modeling sequence data. Derived from feedforward networks, RNNs exhibit similar behavior to how human brains function.
Recurrent neural networks recognize data's sequential characteristics and use patterns to predict the next likely scenario. RNNs are used in deep learning and in the development of models that simulate neuron activity in the human brain.
RNN is a type of supervised deep learning where the output from the previous step is fed as input to the current step. RNN deep learning algorithm is best suited for sequential data.
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- INTRODUCTION Unlimited
- SIMPLE PERCEPTRON Unlimited
- MULTI-LAYERED NEURAL NETWORK (ARTIFICIAL NEURAL NETWORKS). Unlimited
- WEIGHTS INITIALIZATION Unlimited
- BACKPROPAGATION & CHAIN RULE OF DIFFERENTIATION: Unlimited
- LOSS FUNCTION AND VARIOUS TYPES: Unlimited
- GRADIENT DESCENT OPTIMIZER Unlimited
- ACTIVATION FUNCTIONS Unlimited
- STOCHASTIC GRADIENT DESCENT ALGORITHM Unlimited
- ADAGRAD OPTIMIZER Unlimited
- RMSPROP OPTIMIZER Unlimited
- ADAM OPTIMIZER Unlimited
- DROP_OUT IN NEURAL NETWORK Unlimited
- PRACTICAL IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS Unlimited
- PROGRAMMING ASSIGNMENT 1 week, 3 days
- SUMMARY Unlimited
- MODULE 1: NEURAL NETWORKS QUIZ 00:05:00
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- INTRODUCTION Unlimited
- RECURRENT NEURAL NETWORKS USE-CASES Unlimited
- ARCHITECTURE OF RECURRENT NEURAL NETWORKS Unlimited
- PROBLEM WITH SIMPLE RECURRENT NEURAL NETWORK Unlimited
- TYPES OF RECURRENT NEURAL NETWORKS Unlimited
- PRACTICAL IMPLEMENTATION OF SIMPLE RECURRENT NEURAL NETWORKS Unlimited
- PROGRAMMING ASSIGNMENT 1 week, 3 days
- SUMMARY Unlimited
- MODULE 2: RECURRENT NEURAL NETWORKS QUIZ 00:05:00
- INTRODUCTION Unlimited
- THE PROBLEM OF LONG TERM DEPENDENCIES Unlimited
- PRACTICAL IMPLEMENTATION OF LSTM USING PYTHON-KERAS Unlimited
- PROGRAMMING ASSIGNMENT 1 week, 3 days
- SUMMARY Unlimited
- MODULE 3: LSTM QUIZ 00:05:00
- INTRODUCTION Unlimited
- PRECISE UNDERSTANDING OF TIME SERIES FORECASTING OF CRYPTO-CURRENCY PRICES Unlimited
- METHODOLOGY BEHIND THE PRE-PROCESSING OF INFORMATION DURING LSTM TIME-SERIES FORECASTING Unlimited
- IMPLEMENTING UNIVARIATE FORECASTING OF CRYPTO PRICES USING PYTHON Unlimited
- IMPLEMENTING MULTIVARIATE FORECASTING OF CRYPTO-CURRENCY PRICES USING PYTHON Unlimited
- SUMMARY Unlimited
- PROGRAMMING ASSIGNMENT 1 week, 3 days
