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- Neural Network
- Different architectures of Neural Networks
- Importance of Neural Network
- Hyperparameters in Neural Network
- Different types of Gradient descent methods
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- Advanced Deep Learning using Python
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
The fees for the course Advanced Deep Learning using Python is -
| Head | Amount |
| Programme fees | Rs. 40,000 |
certificate availability
Yes
certificate providing authority
Skill Lync
The syllabus
Week 1 - Artificial Neural Network (Feed Forward Neural Network)
Week 2 - Activation Functions in Neural Networks
- Conic sections
- Hyperbolic trigonometric functions
- Sigmoid activation function
- Tanhx activation function
- Relu activation function
- Softmax activation function
Week 3 - Deep Learning
- Terminologies in deep learning
- Nomenclature
- Order of vectorized forms
- Forward propagation derivation with 1 layer
- Back propagation derivation with 1 layer
- Batch size, iteration and epoch
Week 4 - Evaluation of models
- Underfitting
- Overfitting
- Lasso regularization
- Ridge regularization
- Elastic Net regularization
Week 5 - Improvise the model
- Ensemble methods
- Sparse and convex functions
- Bagging to avoid overfitting
- Boosting to avoid underfitting
- Stacking to avoid underfitting
Week 6 - Optimizers
- Frobenius norm regularization
- Data augmentation
- Early stopping
- Adam optimizer
- Tensorflow 2.0
Week 7 - Convolutional Neural Network (CNN)-1
- Basics of CNN
- Edge detection
- Padding
- Stride
- Simple CNN
- Difference between CNN & ANN
Week 8 - Convolutional Neural Network (CNN)-2
- Pooling layers
- Transfer learning
- Examples of CNN architecture
- Combination of different Neural network architecture
- CNN in python
Week 9 - Recurrent Neural Network (RNN)-1
- RNN Model
- Different types of RNN
- Gradients in RNN
- Back propagation
- Difference between RNN & ANN
Week 10 - Recurrent Neural Network (RNN) - Part 2
- Gated Recurrent Unit (RNN)
- Long short term memory (LSTM)
- Bidirectional RNN
- RNN Implementation in Python
Week 11 - Basics of Natural Language Processing (NLP)
- Stop words
- Stemming
- Lemmatization
- Word2vec
- Implementation of word2vec in python
Week 12 - End-to-End ML Project Steps
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
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