Habanero Data Solutions

Deep Learning

Approved by Habanero Data
next available COURSE:
Duration :
4 Day/s
4 Day/s
₦ 250,000
$ 550

Course Information

Everything you need to know

About the Course:
This four-day course is designed for beginners who want to have a basic understanding of AI and Deep Learning. Identify different solutions it offers to problems and its fundamental concepts. Industries like healthcare, information technology, fin-tech, and e-commerce industries can benefit from professionals in this field.

Day 1

Introduction to Deep Learning

  • Neural Networks Basics
  • Binary Classification
  • Logistic Regression
  • Gradient Descent
  • Derivatives
  • Computation Graph
  • Logistic Regression Gradient Descent
  • Gradient Descent on m Examples
  • Vectorization
  • Broadcasting in Python
  • Shallow neural networks
  • Neural Networks Overview
  • Neural Network Representation
  • Computing a Neural Network’s Output
  • Vectorized Implementation
  • Activation functions
  • Gradient descent for Neural Networks

Deep Neural Networks

  • Forward Propagation in a Deep Network
  • Building blocks of deep neural networks
  • Forward and Backward Propagation
  • Parameters vs Hyperparameters
  • Train / Dev / Test sets
  • Bias / Variance
  • Regularization
  • Understanding Dropout
  • Normalizing inputs
  • Weight Initialization for Deep Networks
  • Numerical approximation of gradients
  • Mini-batch gradient descent
  • Exponentially weighted averages
  • Gradient descent with momentum
  • RMSprop
  • Learning rate decay
  • The problem of local optima
  • Hyperparameters
  • Tuning process
  • Batch Normalization
  • Normalizing activations in a network
  • Fitting Batch Norm into a neural network
  • Programming Frameworks
  • Deep learning frameworks
  • TensorFlow

Machine Learning Strategy I

  • Machine Learning Strategy
  • Why ML Strategy
  • Orthogonalization
  • Single number evaluation metric
  • Satisficing and Optimizing metric
  • Train/dev/test distributions
  • Size of the dev and test sets
  • Avoidable bias
  • Understanding human-level performance
  • Surpassing human-level performance
  • Improving your model performance

Machine Learning Strategy II

  • Carrying out error analysis
  • Cleaning up incorrectly labeled data
  • Build your first system quickly, then iterate
  • Training and testing on different distributions
  • Bias and Variance with mismatched data distributions
  • Addressing data mismatch
  • Transfer learning
  • Multi-task learning
  • End-to-end deep learning


  • Summary

Our international certified trainers have highly experienced Deep Learning practitioners who have real-world expertise.

I – Laptops will be provided for all candidates with pre-installed Microsoft Cognotive Toolkit.

II – Our training venue is based in Lekki, Lagos (Specific venue will be emailed on confirmation of a place on the course).

III – Lunches and refreshments are provided inclusive of the cost. Wi-fi and access to spaces to take private calls are also available.

For more information on our training, please enquire using the form above or call +2348103382376

Deep Learning

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    Deep Learning

    Available Dates

    Available Places

    Book or Enquire

    September 12, 2022

    Abuja, Accra, Kigali, Lagos

    We are happy to help

    Call our team today on +234 8103382376 or email [email protected]

    We’re here to discuss your needs with a free consultation and to offer guidance on the best route forward for you or your team. We’re proud of our expert data courses and consultancy services, and we’re always happy to talk about them.