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Comparing TensorFlow (Keras), PyTorch, & MLX - Day 46

  Comparing Deep Learning on TensorFlow (Keras), PyTorch, and Apple’s MLX Deep learning frameworks such as TensorFlow (Keras), PyTorch, and Apple’s MLX offer powerful tools to build and train machine learning models. Despite solving similar problems, these frameworks have different philosophies, APIs, and optimizations under the hood. In this post, we will examine how the same model is…

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Learning rate - part 4- 1-Cycle Scheduling, exponential decay and Cyclic Exponential Decay (CED) - day 45

Advanced Learning Rate Scheduling Methods for Machine Learning Advanced Learning Rate Scheduling Methods for Machine Learning: A Detailed Guide with Mathematical Proofs and Implementations Learning rate scheduling is critical in optimizing machine learning models, helping them converge faster and avoid pitfalls such as getting stuck in local minima. In this guide, we explore three key learning…

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Exploring Gradient Clipping and Weight Initialization in Deep Learning - day 44

Understanding Gradient Clipping and Weight Initialization Techniques in Deep Learning In this part, we explore the fundamental techniques of gradient clipping and weight initialization in more detail. Both of these methods play a critical role in ensuring deep learning models train efficiently and avoid issues like exploding or vanishing gradients. Gradient Clipping: Controlling Exploding…

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Theory Behind 1Cycle Learning Rate Scheduling & Learning Rate Schedules - Day 43

  The 1Cycle Learning Rate Policy: Accelerating Model Training  In our pervious article  (day 42) , we have explained The Power of Learning Rates in Deep Learning and Why Schedules Matter, lets now focus on 1Cycle Learning Rate to explain it  in more detail :  The 1Cycle Learning Rate Policy, first introduced by Leslie Smith in 2018, remains one of the most effective techniques for optimizing…

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Thes Power of Learning Rates in Deep Learning and Why Schedules Matter- day 42

Learning Rates in Deep Learning The Power of Learning Rates in Deep Learning and Why Schedules Matter In deep learning, one of the most critical yet often overlooked hyperparameters is the learning rate. It dictates how quickly a model updates its parameters during training, and finding the right learning rate can make the difference between a highly effective model and one that never converges.…

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Adam Optimizer deeply explained - Day 40

Introduction to Optimization Concepts Understanding Local Minimum, Global Minimum, and Gradient Descent in Optimization In optimization problems, especially in machine learning and deep learning, concepts like local minima, global minima, and gradient descent are central to how algorithms find optimal solutions. Let’s break down these concepts: 1. Local Minimum vs. Global Minimum Local Minimum:…

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Announcement: ai academy : deep leaning app by us

App name : ai academy : deep leaning We discuss the transformative world of deep learning and the AI Academy Deep Learning app, which simplifies complex AI concepts like neural networks, convolutional neural networks, recurrent neural networks, and transformers. The app offers a structured learning path, personalized notes, and offline accessibility to help users enhance their understanding of…

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Understanding Stochastic Gradient Descent (SGD) in Machine Learning Understanding Stochastic Gradient Descent (SGD) in Machine Learning In our previous blog post – on day 4 – we have talked about using the SGD algorithm for the MNIST dataset. But what is Stochastic Gradient Descent? Stochastic Gradient Descent (SGD) is an iterative method for optimizing an objective function that is written as…

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approach ChatGPT plus api Access with AI Chat by API App

App name: ai chat by api Link : https://apps.apple.com/at/app/ai-chat-by-api/id6739469873?l=en-GB

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Innovative App Revolutionizes German Learning with Visual AidsApp name: Flashcards INGOAMPT German B1 ; no data is collected so just check it out

Innovative App Revolutionizes German Learning with Visual Aids: search Ingoampt in Apple Store to check it

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German Grammar B1 App

Search Ingoampt to find the app in Apple Store In this video, we discuss the German Grammar B1 resource, which is user-friendly, motivating, and perfect for mastering the B1 level of German grammar. Whether you’re preparing for an exam or simply looking to improve your skills, this resource is a game changer, as it focuses on the important grammar topics taught in B1-level German classes.

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Discover the Cost-Effective AI Chat App Changing the Game

App name : ai chat by app , company name : Ingoampt

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Search Ingoampt on iPhone or iPad Apple Store

Check Ingoampt in Appel store on your iPhone or iPad

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Deep Learning _ Perceptrons

Introduction to Deep Learning and Perceptrons Introduction to Deep Learning and Neural Networks with a Focus on Perceptrons Deep Learning is a subset of machine learning that uses neural networks with many layers (hence “deep”) to model and understand complex patterns in data. These networks are inspired by the human brain and are particularly powerful for tasks like image and speech…

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Announcement : chat ai by api

Just Now—It’s Live! 🎉 Just Now—It’s Live! 🎉 The wait is over! The innovative iOS app, AI Chat by API, is now officially live on the App Store. This app introduces a flexible and affordable way to use ChatGPT Plus while adding advanced features to enhance your productivity and AI interactions. The Problem For many users, subscribing to ChatGPT Plus on a monthly basis is not…

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ONNX vs. Core ML: Choosing the Best Approach for Model Conversion in 2024

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Core ML vs PyTorch vs TensorFlow

Core ML vs PyTorch vs TensorFlow: Mathematical Insights A Comprehensive Study on Core ML and Machine Learning Model Conversion Abstract Machine learning frameworks such as PyTorch, TensorFlow, and Core ML handle model development, training, and deployment differently. For iOS applications, Core ML provides unparalleled optimization and integration. This paper delves into the **mathematics**…