Deep learning architecture cheat sheet. Model TODO: An example implementation in PyTorch.

Deep learning architecture cheat sheet By Afshine Amidi and Shervine Amidi Overview Architecture of a traditional RNN Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states. Whether you are a beginner or an experienced developer, this Tech Cheat Sheets CLOUD Big data & Ai Cheat Sheets for AI, Machine Learning, Neural Networks, Big Data & Deep Learning Linkedin Instagram Youtube Envelope I have been collecting AI cheat sheets for the last few months, and I’ve been sharing them with friends and colleagues from time to time. - They are based on the attention mechanism, allowing them to capture dependencies between words in a sentence. It provides the freedom to x work with JAX, Tensorflow, and Torch, plus the freedom to build models that can seamlessly move across these frameworks. The main ones are summed up in the table below. Architecture The vocabulary around neural networks architectures is described in the figure below: See full list on github. From neural networks to backpropagation, this cheat sheet simplifies complex concepts and algorithms, making it an invaluable resource for both beginners and experienced AI enthusiasts. pdf A Technical Introduction to Artificial Intelligence. TensorFlowTM TensorFlow is an open-source software library for high-performance numerical computation. pdf. md cheatsheet-convolutional-neural-networks. The structured organization—from foundational probability to advanced deep learning concepts—mirrors This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include: Refreshers in related topics that highlight the key points of the prerequisites of the course. keras3 provides easy access to the Keras vast API. Nov 22, 2021 · In today’s post I would like to give you a deep introduction into a neural network architecture type called Autoencoders. Most of The book "Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design" is the only book you need to master Deep Learning (DL) concepts. Jul 9, 2017 · Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data The Most Complete List of Best AI Cheat Sheets Over the past few months, I have been collecting AI cheat sheets. It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. These sheat sheet, represent all the Neural Network Architecture with its graphs and its Formulas, as well as some useful overall explanation of some important Machine learning library such as: Scikit-Learn, Bokeh, TensorFlow, Keras, Numpy, Pandas, Scipy, Matplotlib and Pyspark. models import Sequential Oct 29, 2017 · One infographic that explains how Reinforcement Learning, Deep Learning and Monte Carlo Search Trees are used in AlphaGo Zero. Architecture of a traditional CNN Convolutional neural networks, also known as CNNs, are a specific type of neural networks that are generally composed of the following layers: Deep Learning RNN Cheat Sheet Neural Networks has various variants like CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), AutoEncoders etc. Whenever I have a machine learning or deep learning interview, I spend a couple of hours revising all of the key concepts of machine learning and model architecture. By understanding the fundamentals, mastering the architectures, and applying practical tips, candidates can significantly enhance their interview performance and embark on successful data science careers. Recently, a lot of inquiries … „Cheat Sheets for AI, Machine Learning, Neural Networks, Big Data In this article, we’ll work through some of the basic principles of deep learning, by discussing the fundamental building blocks in this exciting field. Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, and TPUs), as well as mobile and edge devices, desktops, and clusters of servers. com >>> from keras. The huge ecosystem of TensorFlow will make it easier for everyone in developing, training and deployment of scalable AI solutions. Commonly used types of neural networks include convolutional and recurrent neural networks. Deep Learning Deep Learning is derived from a machine learning algorithm called perceptron or multi layer percep-tron that is gaining more and more attention nowadays because of its success in different fields like, computer vision to signal processing and medical diagnosis to self-driving cars. Key Components of Transformers: - Input Embeddings: Convert words into fixed-size vectors Jul 7, 2017 · Keras is a powerful and easy-to-use deep learning library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models. In no time, this Keras cheat sheet will make you familiar with how you can load data sets from the library itself, preprocess the data, build up a model architecture, and compile, train and evaluate it. This cheat sheet will be a useful guide to help you easily build deep learning models, covering everything from setting up models to training and improving them. Take a look at some of the primary ingredients of getting started below, and don’t forget to bookmark this page as your Deep Learning cheat sheet! Python For Data Science Cheat Sheet Model Architecture Keras Sequential Model Learn Python for data science Interactively at www. Model TODO: An example implementation in PyTorch. TensorFlow comes with strong support for machine learning and deep learning. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. pdf A Selective Overview of Deep Learning. It describes common model architectures like sequential, multilayer perceptron (MLP), convolutional neural network (CNN) models. Deep Learning cheatsheet Star 18,730 By Afshine Amidi and Shervine Amidi Neural Networks Neural networks are a class of models that are built with layers. Training TODO Further reading Generative Adversarial Networks Deep Learning Book Comprehensive Deep Learning cheatsheet covering neural networks, architectures, optimization techniques, and implementation tips for AI developers The Deep Learning Cheatsheet is a comprehensive educational resource in the Stanford CS 229 Machine Learning repository. pdf It is usually done after a fully connected/convolutional layer and before a non-linearity layer and aims at allowing higher learning rates and reducing the strong dependence on initialization. 2. - ryanxjhan/TensorFlow-2. Cheat Sheet - RNN and CNN Deep Learning cheatsheets for Stanford's CS 230 Goal This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include: Cheatsheets detailing everything about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep Welcome to the Machine Learning Cheat Sheets repository! This collection of cheat sheets provides quick references for common tasks in machine learning, including data preprocessing, model evaluation, neural network architectures, and data loading techniques in PyTorch. These models can be used for prediction, feature extraction, and fine-tuning. All elements Learn how to use PyTorch to train a Deep Q Learning (DQN) agent on the CartPole-v0 task from the OpenAI Gym. TensorFlow cheat sheet helps you on immediate reference to commands, tools, and techniques. It also covers steps They use deep learning algorithms to learn patterns in the data and can generate human-like text, translate between languages, and perform a wide range of other tasks. They are typically as follows: Jul 23, 2025 · Keras Cheat-Sheet In this article, we’ll provide a Keras Cheat-Sheet that highlights the library's key features and functions. pdf A Programmers Guide to Data Mining. Nov 19, 2024 · SGD (Stochastic Gradient Descent) - It calculates the gradients of the output of a loss function and decreases the parameters according to the gradients multiplied by a learning rate. Python For Data Science Cheat Sheet Model Architecture Keras Sequential Model Learn Python for data science Interactively at www. pdf A Programmer’s Guide to Data Mining. Sep 30, 2024 · Quick-reference cheat sheet for Reinforcement Learning (RL) concepts, covering key algorithms, subgroups, and basics. It supports convolution networks (vision) and recurrent networks (text and time series). A Look at Machine Learning System Design - Analytics Vidhya. Ideal for students or anyone learning RL. Mar 29, 2025 · A comprehensive AI terminology cheat sheet covering essential terms in artificial intelligence, machine learning, deep learning, NLP, and more. Sometimes hiring managers won't have the technical knowledge, so they will also use cheat sheets for preparations. It is made up of multiple layers, including Oct 28, 2024 · This separation lets you modify either the architecture or the forward logic without cluttering your code. DataCamp. Cheat sheet code snippets The Eclipse Deeplearning4j libraries come with a lot of functionality, and we've put together this cheat sheet to help users assemble neural networks and use tensors faster. Most of these are neural networks, some are completely […] Mar 12, 2020 · In recent years, mainly due to advances in deep learning, more concretely convolutional networks, the quality of image recognition and object detection has improved at a spectacular rate. Deep Learning Architecture Cheatsheet 🧠 A quick-start guide and example collection for five major deep learning architectures. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location! Architecture ― The vocabulary around neural networks architectures is described in the figure below: Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data 2 3 4 Mar 22, 2019 · Downloadable: Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Data Science PDF Downloadable PDF of Best AI Cheat Sheets in Super High Definition Last year, I shared my list of … Goal This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include: Cheatsheets detailing everything about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model. It also makes getting started with Convolutional Neural Networks (CNNs) are a powerful tool for image analysis that can be used for tasks such as image classification, object detection, and semantic segmentation. Sep 29, 2023 · PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). Jul 26, 2025 · TensorFlow is an open-source powerful library by Google to build machine learning and deep learning models. So I decided to compose a cheat sheet containing many of those architectures. Apr 29, 2024 · This cheat sheet equips aspiring data scientists with the knowledge and confidence to tackle deep learning questions in interviews. By Afshine Amidi and Shervine Amidi Overview Architecture of a traditional CNN Convolutional neural networks, also known as CNNs, are a specific type of neural networks that are generally composed of the following layers: Machine Learning tips and tricks cheatsheet Star 18,730 By Afshine Amidi and Shervine Amidi Classification metrics In a context of a binary classification, here are the main metrics that are important to track in order to assess the performance of the model. pdf A Unified Data Infrastructure Architecture. Transformers Cheat Sheet for Natural Language Processing (NLP): 1. Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data 2 3 4 A Look at Machine Learning System Design - Analytics Vidhya. Layer Cheat Sheet Let’s go deeper into the layers you’ll likely need. It serves as a concise reference guide for key neural network concepts, architectures, and training methodologies covered in the course, presented in a format optimized for quick review and reference. txt) or view presentation slides online. What are Transformers? - Transformers are a type of deep learning model architecture that has revolutionized NLP tasks. As defined by Aparna Goel “A Convolutional Neural Network is a type of deep learning algorithm that is particularly well-suited for image recognition and processing tasks. Deep Learning Tips and Tricks cheatsheet Star 6,833 By Afshine Amidi and Shervine Amidi Data processing Data augmentation Deep learning models usually need a lot of data to be properly trained. It is often useful to get more data from the existing ones using data augmentation techniques. Keras applications are deep learning models that are made available alongside pre-trained weights. This Machine Learning cheat sheet is your compact roadmap covering the most essential ML concepts, techniques, and algorithms – all in a structured way. pdf cheatsheet-recurrent-neural-networks. pdf fa Sep 14, 2016 · With new neural network architectures popping up every now and then, it’s hard to keep track of them all. pdf), Text File (. - yennhi95zz/machine-learning-cheatsheets Keras Cheat Sheet Python - Free download as PDF File (. RNN are designed to work with sequence prediction problems (One to Many, Many to Many, Many to One). Figure from [3]. Sep 9, 2025 · Deep Learning Cheatsheet: A Quick Guide Lily Turner 09 September 2025 Explore the ultimate Deep Learning Cheatsheet – your comprehensive blog to mastering the intricate field of artificial intelligence. A comprehensive collection of Machine Learning cheatsheets for quick reference and learning. The collection consists of LICENSE README. Caffe Deep Learning Framework Cheatsheet A quick reference guide for Caffe, covering its architecture, layers, tools, and usage for deep learning tasks. models import Sequential Intro Keras enables fast experimentation with “neural networks”. pdf super-cheatsheet-deep-learning. The post is aimed for Machine Learning beginners who would like get some Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, and TPUs), as well as mobile and edge devices, desktops, and clusters of servers. pdf cheatsheet-deep-learning-tips-tricks. This cheat sheet has two significant advantages: Machine Learning Cheatsheet ¶ Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more. Jun 30, 2021 · Make your own neural networks with this Keras cheat sheet to deep learning in Python for beginners, with code samples. This document provides an overview of Keras, a powerful deep learning library for building and evaluating neural networks models. The keras3 R package makes it easy to use Keras with any backend in R. Also, some explanation of the Big-O in Data Structrues and Algorithms. Machine Learning This is the most in-demand cheat sheet among the data community. Cheatsheets for Numpy, Pandas, Matplotlib, Scipy, Scikit Learn, ggplot2, TensorFlow, Neural Networks, Keras, Deep Learning - DipakMajhi/Machine-Learning-CheatSheets Backends like TensorFlow are lower level mathematical libraries for building deep neural network architectures. From … November 26, 2018 Overview r Architecture of a traditional CNN Convolutional neural networks, also known as CNNs, are a specific type of neural networks that are generally composed of the following layers: The convolution layer and the pooling layer can be fine-tuned with respect to hyperparameters that are described in the next sections. A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks. com GAN ¶ TODO: Description of GAN use case and basic architecture. Cheatsheets for each machine learning field, as well as another dedicated to tips and tricks to have in mind when training a model. This cheat sheet is a condensed version of machine learning manual, which contains many classical equations and diagrams on machine learning, and aims to help you quickly recall knowledge and ideas in machine learning. My twin brother Afshine and I created this set of illustrated Machine Learning cheatsheets covering the content of the CS 229 class, which I TA-ed in Fall 2018 at Stanford. Sep 2, 2025 · Machine Learning (ML) is all about enabling systems to learn from data and make decisions. pdf A Tour of Machine Learning Algorithms. transformer - An NLP specific neural net architecture RNN (recurrent neural network) - Used for NLP but being replaced by transformer based AI and LLM. x-Cheat-Sheet Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data 2 3 4 This cheat sheet transforms scattered ML knowledge into a cohesive reference architecture. erqtw ayvo eonio lltf vzqw ouhacxa coioqs hggc bopq xbram gihebz