AI

How to get hired as a Machine Learning Engineer

7 steps to land a Machine Learning Engineer Job

Graph Neural Networks - An overview

How Neural Networks can be used in graph data

YOLO - You only look once (Single shot detectors)

Single shot detectors and how YOLO is used for object detection and localization

Localization and Object Detection with Deep Learning

Explain RCNN, Fast RCNN and Faster RCNN

Semantic Segmentation in the era of Neural Networks

Semantic segmentation with deep learning

Trust Region and Proximal policy optimization (TRPO and...

Trust Region policy optimization vs Proximal policy optimization

The idea behind Actor-Critics and how A2C and A3C impro...

Actor critics, A2C, A3C

Unravel Policy Gradients and REINFORCE

Explore Policy-based methods and dive into policy gradients

Q-targets, Double DQN and Dueling DQN

Fixed Q-targets, Double DQN, Dueling DQN, Prioritized Replay

Deep Q Learning and Deep Q Networks

Learn what Q Learning is and build a Deep Q Network to play games

The secrets behind Reinforcement Learning

The central idea behind reinforcement learning and an overview of its algorithms

Decrypt Generative Adversarial Networks (GAN)

What's the difference of generative and discriminative models and what is a GAN

How to train a deep learning model in the cloud

How to create a VM instance in Google cloud, transfer a deep learning model and ...

In-layer normalization techniques for training very dee...

How can we efficiently train very deep neural network architectures? What are th...

Introduction to 3D medical imaging for machine learning...

Learn how to apply 3D transformations for medical image preprocessing and augmen...

How to build a custom production-ready Deep Learning Tr...

Building a custom training loop in Tensorflow and Python with checkpoints and Te...

Recurrent Neural Networks: building GRU cells VS LSTM c...

What are the advantages of RNN’s over transformers? When to use GRU’s over LSTM?...

Recurrent neural networks: building a custom LSTM cell

Are you interested to see how recurrent networks process sequences under the hoo...

Data preprocessing for deep learning: Tips and tricks t...

How to optimize the data processing pipeline using batching, prefetching, stream...

Self-supervised representation learning on videos

In this article, we dive into the state-of-the-art methods on self-supervised re...

Data preprocessing for deep learning: How to build an e...

How to develop high performance input pipelines in Tensorflow using the ETL patt...

Understanding coordinate systems and DICOM for deep lea...

Multiple introductory concepts regarding deep learning in medical imaging, such ...

Logging and Debugging in Machine Learning - How to use ...

A guide on how to debug machine learning code and how to use logs to catch error...

Understanding the receptive field of deep convolutional...

An intuitive guide on why it is important to inspect the receptive field, as wel...

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