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a coder’s guide to ai </>
a code first approach to machine learning
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Why Focusing on Machine Learning Alone Isn’t Going to Solve the Problem
Why Focusing on Machine Learning Alone Isn’t Going to Solve the Problem
Maybe it’s time that we stop focusing on teaching just the algorithms and start incorporating lessons on data collection and curation.
Akmel Syed
Apr 6
Why ‘A’ in Deep Learning Stands for the Awesome Adam Optimizer
Why ‘A’ in Deep Learning Stands for the Awesome Adam Optimizer
An easy to understand explanation of the Adam optimizer and how to code it from scratch using Python and PyTorch.
Akmel Syed
Apr 4
Why RMSProp is Such a Big Deal for Adaptive Learning Rates
Why RMSProp is Such a Big Deal for Adaptive Learning Rates
An easy to follow tutorial on how to implement the famous RMSProp from scratch in Python with the help of PyTorch.
Akmel Syed
Mar 23
Momentum for Deep Learning Made Easy (How-To)
Momentum for Deep Learning Made Easy (How-To)
An easy to follow tutorial to momentum for deep learning from scratch. A code first explanation using Python and PyTorch.
Akmel Syed
Feb 16
Made Easy — How to Make Sense of Weight Decay
Made Easy — How to Make Sense of Weight Decay
An easy to follow guide to weight decay (aka L2 regularization). Understand how to write it from scratch with PyTorch.
Akmel Syed
Feb 3
Why You Need to Stop Using Sigmoids
Why You Need to Stop Using Sigmoids
A thorough explanation of the vanishing gradient and sigmoids. Explained in code, along with ReLu and the Kaiming initalization.
Akmel Syed
Jan 27
This is How to Improve an Imbalanced Dataset
This is How to Improve an Imbalanced Dataset
An easy to follow tutorial on the best way to balance an imbalanced dataset by oversampling in Python using PyTorch.
Akmel Syed
Jan 10
Why You Need to Learn PyTorch’s Powerful DataLoader
Why You Need to Learn PyTorch’s Powerful DataLoader
An easy to follow tutorial introducing PyTorch’s DataLoader. Improve your deep learning. A code first approach in Python.
Akmel Syed
Dec 31, 2020
An Easy and Useful Guide to Batch Gradient Descent
An Easy and Useful Guide to Batch Gradient Descent
An easy and useful guide to batch gradient descent. Improve your ML models. Understand the intuition and implement with Python and PyTorch.
Akmel Syed
Dec 27, 2020
This is How to Scale Your Data for Deep Learning
This is How to Scale Your Data for Deep Learning
Easy to follow guide on how to scale your data for deep learning and neural networks in PyTorch. Standardization vs. normalization.
Akmel Syed
Dec 24, 2020
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