Specializations

9 Specializations comprised of 33 Courses

This is a log of all my specializations.

2021

Mathematics for Machine Learning (3)

from Imperial College, London on May, 2021
taught by: David Dye et al

3 Course Specialization: A7TGBJU5V5FX

Math 4 ML: Linear Algebra
Grade Achieved: 98%
Topics: Vector Algebra, Matrices, Determinancts, Linear Mappings, Basis Vectors, 
Transformations, Image Manipulation, Gaussian Elimination
Math 4 ML: Multivariate Calculus
Grade Achieved: 97.25%
Topics: Limits, Partial Derivative, Jacobian, Hessian, Multi-Variate Chain Rule, 
Neural Networks, Taylor Series etc 
Math 4 ML: Principal Component Analysis
Grade Achieved: 96%
Topics: Covariance, Dot Product, Inner Product, nD Subspaces, PCA etc

TensorFlow 2 for Deep Learning (3)

from Imperial College, London on April, 2021
taught by: Kevin Webster and team

3 Course Specialization: 6G4Z3XZYSQ68

Getting Started with TF2
Grade Achieved: 94%
Topics: Sequential models, Validation, Regularisation, Callbacks etc
Customising your models with TensorFlow 2
Grade Achieved: 99.88%
Topics: Keras Functional APIs, Data Pipeline, Sequence Modelling, Model 
Subclassing and Custom Training Loops
Probabilistic Deep Learning with TensorFlow 2
Grade Achieved: 100%
Topics: Probabilistic Layers, Bayesian Neural Networks, TF-Probability, 
Bijectors, Normalising Flows, VAEs etc

TensorFlow: Advanced Techniques (4)

from DeepLearning.AI & Coursera on January, 2021
taught by: Laurence Moroney & Eddy Shyu

4 Course Specialization: 4LD9N3LM25QT

Custom Models, Layers, and Loss Functions with TensorFlow
Grade Achieved: 98.75%
Topics: To be updated
Custom and Distributed Training with TensorFlow
Grade Achieved: 96.14%
Topics: To be updated
Advanced Computer Vision with TensorFlow
Grade Achieved: 99.88%
Topics: To be updated
Generative Deep Learning with TensorFlow
Grade Achieved: 100.00%
Topics: To be updated

2020

Generative Aderversial Networks (GANs) (3)

from DeepLearning.AI & Coursera on December 2020.
taught by: Sharon Zhou, Eda Zhou & Eric Zelikman

3 Course Specialization: JJL3AD572U7M

Build Basic Generative Adversarial Networks 
Grade Achieved: 100.00%
Topics: To be updated
Build Better Generative Adversarial Networks
Grade Achieved: 100.00%
Topics: To be updated
Apply Generative Adversarial Networks
Grade Achieved: 93.00%
Topics: To be updated

Natural Language Processing (4)

from DeepLearning.AI & Coursera on October, 2020.
taught by: Younes Bensouda Mourri, Ɓukasz Kaiser & Eddy Shyu

4 Course Specialization: AV2CKJ532MLF

Natural Language Processing with Classification and Vector Spaces
Grade Achieved: 100.00%
Topics: To be updated
Natural Language Processing with Probabilistic Models
Grade Achieved: 92.73%
Topics: To be updated
Natural Language Processing with Sequence Models
Grade Achieved: 100.00%
Topics: To be updated
Natural Language Processing with Attention Models
Grade Achieved: 97.50%
Topics: To be updated

AI for Medicine (3)

from DeepLearning.AI & Coursera on June, 2020.
taught by: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani & Eddy Shyu

3 Course Specialization: T9B9T36JEU9H

AI for Medical Diagnosis 
Grade Achieved: 83.33%
Topics: To be updated
AI for Medical Prognosis
Grade Achieved: 95.83%
Topics: To be updated
AI For Medical Treatment
Grade Achieved: 100.00%
Topics: To be updated

TensorFlow: Data and Deployment (4)

from DeepLearning.AI & Coursera on May, 2020.
taught by: Laurence Moroney

4 Course Specialization: JFQZ96XFR39T

Browser-based Models with TensorFlow.js
Grade Achieved: 97.59%
Topics: To be updated
Device-based Models with TensorFlow Lite
Grade Achieved: 100.00%
Topics: To be updated
Data Pipelines with TensorFlow Data Services
Grade Achieved: 100.00%
Topics: To be updated
Advanced Deployment Scenarios with TensorFlow
Grade Achieved: 100.00%
Topics: To be updated

2019

DeepLearning.AI TensorFlow Developer (4)

from DeepLearning.AI & Coursera on October, 2019
taught by: Laurence Moroney

4 Course Specialization: NPXD8GU4DHWR

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Grade Achieved: 99.29%
Topics: To be updated
Convolutional Neural Networks in TensorFlow
Grade Achieved: 100.00%
Topics: To be updated
Natural Language Processing in TensorFlow
Grade Achieved: 96.88%
Topics: To be updated
Sequences, Time Series and Prediction
Grade Achieved: 100.00%
Topics: To be updated

2018

Deep Learning (5)

from DeepLearning.AI & Coursera on February, 2018.
taught by: Andrew Ng, Kian Katanforoosh & Younes Bensouda Mourri

5 Course Specialization: 5SLAHEXWSF96

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 
Grade Achieved: 100.00%
Topics: To be updated
Sequence Models
Grade Achieved: 99.50%
Topics: To be updated
Convolutional Neural Networks
Grade Achieved: 97.25%
Topics: To be updated
Structuring Machine Learning Projects
Grade Achieved: 93.33%
Topics: To be updated
Neural Networks and Deep Learning
Grade Achieved: 100.00%
Topics: To be updated