Course curriculum
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Introduction to Instructor and Aisciences
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Introduction To Instructor
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Focus of the Course
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Human Activity Recognition
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Image Captioning
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Machine Translation
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Speech Recognition
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Stock Price Predictions
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When to Model RNN
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Activity
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PyTorch Installation and Tensors Introduction
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Why PyTorch
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Automatic Diffrenciation Pytorch New
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Why DNNs in Machine Learning
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Representational Power and Data Utilization Capacity of DNN
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Perceptron
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Perceptron Exercise
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Perceptron Exercise Solution
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Perceptron Implementation
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DNN Architecture
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DNN Architecture Exercise
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DNN Architecture Exercise Solution
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DNN ForwardStep Implementation
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DNN Why Activation Function Is Required
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DNN Why Activation Function Is Required Exercise
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DNN Why Activation Function Is Required Exercise Solution
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DNN Properties Of Activation Function
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DNN Activation Functions In Pytorch
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DNN What Is Loss Function
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DNN What Is Loss Function Exercise
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DNN What Is Loss Function Exercise Solution
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DNN What Is Loss Function Exercise 02
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DNN What Is Loss Function Exercise 02 Solution
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DNN Loss Function In Pytorch
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DNN Gradient Descent
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DNN Gradient Descent Exercise
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DNN Gradient Descent Exercise Solution
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DNN Gradient Descent Implementation
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DNN Gradient Descent Stochastic Batch Minibatch
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DNN Gradient Descent Summary
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DNN Implemenation Gradient Step
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DNN Implemenation Stochastic Gradient Descent
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DNN Implemenation Batch Gradient Descent
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DNN Implemenation Minibatch Gradient Descent
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DNN Implemenation In PyTorch
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DNN Weights Initializations
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DNN Learning Rate
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DNN Batch Normalization
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DNN batch Normalization Implementation
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DNN Optimizations
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DNN Dropout
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DNN Dropout In PyTorch
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DNN Early Stopping
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DNN Hyperparameters
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DNN Pytorch CIFAR10 Example
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Introduction to Module
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Fixed Length Memory Model
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Fixed Length Memory Model Exercise
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Fixed Length Memory Model Exercise Solution Part 01
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Fixed Length Memory Model Exercise Solution Part 02
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Infinite Memory Architecture
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Infinite Memory Architecture Exercise
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Infinite Memory Architecture Solution
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Weight Sharing
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Notations
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ManyToMany Model
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ManyToMany Model Exercise 01
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ManyToMany Model Solution 01
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ManyToMany Model Exercise 02
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ManyToMany Model Solution 02
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OneToMany Model
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OneToMany Model Exercise
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OneToMany Model Solution
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ManyToOne Model
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ManyToOne Model Exercise
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ManyToOne Model Solution
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Activity Many to One
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Activity Many to One Exercise
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Activity Many to One Solution
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ManyToMany Different Sizes Model
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Activity Many to Many Nmt
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Models Summary
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Deep RNNs
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Deep RNNs Exercise
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Deep RNNs Solution
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Introduction to Gradient Descent Module
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Example Setup
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Equations
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Equations Exercise
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Equations Solution
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Loss Function
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Why Gradients
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Why Gradients Exercise
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Why Gradients Solution
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Chain Rule
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Chain Rule in Action
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BackPropagation Through Time
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Activity
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Automatic Diffrenciation
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Automatic Diffrenciation Pytorch
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Language Modeling Next Word Prediction Vocabulary Index
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Language Modeling Next Word Prediction Vocabulary Index Embeddings
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Language Modeling Next Word Prediction RNN Architecture
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Language Modeling Next Word Prediction Python 1
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Language Modeling Next Word Prediction Python 2
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Language Modeling Next Word Prediction Python 3
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Language Modeling Next Word Prediction Python 4
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Language Modeling Next Word Prediction Python 5
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Language Modeling Next Word Prediction Python 6
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About this course
- $199.99
- 140 lessons
- 15 hours of video content