ValueError: Shapes None, 64 and None, 2365 are incompatible

If you have encountered the error message "ValueError: Shapes None, 64 and None, 2365 are incompatible," you are not alone. This error often arises when working with arrays or tensors in machine learning frameworks such as TensorFlow or PyTorch. This article outlines potential causes and solutions for this error.

Understanding the Error

The error message indicates an incompatibility between the shapes of two tensors. The shapes in question are "None, 64" and "None, 2365." The term "None" signifies a dimension that can vary in size, while 64 and 2365 represent the sizes of the other dimensions.

Possible Causes

Input Mismatch: A common cause is an imbalance between the input data and the model's input layer. Neural networks require input data to conform to a specific shape. If the provided data does not align with this shape, the error can occur.
Incorrect Reshaping: Errors can also stem from improper reshaping of tensors. When using functions like reshape() or tf.expand_dims(), it is vital to manipulate dimensions correctly.
Model Architecture: The error may arise from a disconnect between the model's architecture and the input data. If the model expects a specific number of features but receives a different count, the shapes will be incompatible.

Solutions

Check Input Data: Verify that the input data corresponds to the expected shape of the model's input layer. Ensure that the dimensions align properly and that the number of features matches.
Reshape Tensors: When using reshaping operations, confirm that the dimensions are modified accurately. Printing the shapes of the tensors at various stages can help identify inconsistencies.
Review Model Architecture: Examine the model's architecture to confirm it meets the data requirements. The number of features in the input layer must match the size of the input data.

Following these suggestions should help you resolve the "ValueError: Shapes None, 64 and None, 2365 are incompatible" error and allow you to proceed with your machine learning project.

Create your AI Agent

Automate customer interactions in just minutes with your own AI Agent.

Get started for free Chat with AI for fun

Featured posts

5 steps to create Customer Journey Mapping

Are you looking to understand customer demands? What does your customer require for a better buying experience? Customer journey mapping visually represents the interactions between customers and a business, showcasing customer engagement with various touchpoints.

Democratizing AI: Paving the Way for an Inclusive Technological Future

AI is one of the most transformative technologies today. It influences various sectors and impacts our daily lives. From personalized recommendations on streaming platforms to autonomous vehicles and advanced healthcare diagnostics, AI demonstrates significant potential. Yet, concerns about the concentration of AI expertise and resources highlight the need for democratizing AI. This article discusses the importance of democratizing AI and ways to foster inclusivity in this evolving field.

Understanding Large Language Models (LLMs)

In the world of artificial intelligence, Large Language Models (LLMs) have emerged as transformative entities, revolutionizing the way we interact with technology and process vast amounts of textual data. These models are not just mere tools; they represent a leap forward in our ability to comprehend and generate human-like text. In this article, we will delve into the fascinating world of LLMs, exploring what they are, how they work, and their significant impact on various domains.

Can AI Think?

AI has sparked endless debates about whether it can truly think or if it simply processes information to give the illusion of thought. This question sits at the heart of AI’s role in our world, raising important concerns about what AI is capable of and how it works.

Why Apple Opted for GPT-4o to Power Siri

Apple's decision to integrate GPT-4o as the AI behind Siri is set to transform the experience for users. This integration promises a Siri that understands needs more accurately, replies more naturally, and assists with tasks more intuitively. Let’s explore the reasons behind this innovative choice.

What Are Good Open Source AI Chess Grandmasters?

The journey of AI in chess began with relatively humble beginnings, where early programs could be bested by moderately skilled players. The turning point came with IBM's Deep Blue, which famously defeated the reigning world champion, Garry Kasparov, in 1997. This victory marked a seismic shift, heralding a new era where AI became a formidable player in the realm of chess.

Top 10 LLMs Today in the Beginning of 2025

The world of large language models (LLMs) is changing quickly. New models appear often, and some quickly become very popular. These powerful tools are used for many things, from writing stories to creating code. It can be difficult to keep up with the best ones. This article will help by looking at ten of the top LLMs available now. We'll explore their strengths and what makes them popular.

Use Generative AI as Your Product Website Search Engine

Running a product website means constantly looking for ways to improve user experience and streamline information access. One innovative solution gaining traction is using generative AI as a search engine. Instead of relying on traditional keyword-based search methods, you can have an AI that understands the specific details of your products and provides direct, accurate answers to user queries. Here's how you can achieve this with tools like AskHandle.

Achieve more with AI

Enhance your customer experience with an AI Agent today. Easy to set up, it seamlessly integrates into your everyday processes, delivering immediate results.

Try for free Get a demo

Latest posts

AskHandle Blog

Ideas, tips, guides, interviews, industry best practices, and news.

• May 4, 2024

The Future of Artificial Intelligence

In the whirl of today’s technological advancements, Artificial Intelligence (AI) stands out as a herald of future possibilities. AI is scheming a path that threads through nearly every aspect of our lives, promising transformations that were once fodder for science fiction stories. This exciting technology, which equips machines with the ability to make decisions and learn from experiences, continues to expand its boundaries. Let’s explore some ways AI is likely to reshape our future.

FutureTechnologyAI

• September 14, 2023

How to Become a Marketing Analyst

Marketing analysts help businesses make informed decisions and enhance their marketing strategies. They analyze marketing data, uncover insights, and provide recommendations. This guide outlines the steps and skills needed to become a successful marketing analyst.

Marketing AnalystMarketingCareer Path

• Aug 9, 2023

Developing an Effective Chatbot Strategy: A Comprehensive Guide

Developing a successful chatbot strategy requires careful planning and consideration of various factors. In this blog post, we will explore key steps and best practices to create an effective chatbot strategy that aligns with your business goals and customer needs.

Chatbot strategyChatbot platformEffective chatbot strategy

View all posts