Table of Contents Integrating Document Embedding in Gemini Pro: An Approach to Retrieval-Augmented Generation Introduction to Document Embedding with Gemini Pro The Essential Role of Embeddings Setting Up Gemini Pro for Document Embedding and Generation Implementing Document Embedding: Code Integration…

Table of Contents Conversing with Gemini Pro: Crafting and Debugging PyTorch Code Through AI Dialogue Introduction to Chat with Gemini Pro Recap of Previous Lessons Leveraging Conversational AI with Gemini Pro for Coding Exploring Gemini Pro as a Conversational AI…

Table of Contents Image Classification with Gemini Pro Introduction to Gemini Pro for Image Classification Transitioning from Image Processing to Image Classification with Gemini Pro Comparative Analysis: Gemini Pro vs. ChatGPT-3.5 in Image Classification Exploring the Variants: Gemini Pro and…

In this tutorial, you will learn how to perform OCR handwriting recognition using OpenCV, Keras, and TensorFlow. This post is Part 2 in our two-part series on Optical Character Recognition with Keras and TensorFlow: Part 1: Training an OCR model…

In this tutorial, you will learn how to train an Optical Character Recognition (OCR) model using Keras, TensorFlow, and Deep Learning. This post is the first in a two-part series on OCR with Keras and TensorFlow: Part 1: Training an…

Last week I wrote a post detailing my experience with CUDAMat, Deep Belief Networks, and Python using my MacBook Pro. The post is fairly long and full of screenshots to document my experience. But the gist of it is this:…

Grab the tissues. This is a tail of my MacBook Pro, a GPU, and the CUDAMat library — and it doesn’t have a happy ending. Two weeks ago I posted a Geting Started with Deep Learning and Python guide. The…

Update – January 27, 2015: Based on the feedback from commenters, I have updated the source code in the download to include the original MNIST dataset! No external downloads required! Update – March 2015, 2015: The nolearn package has now…

In my last post, I mentioned that tiny, one pixel shifts in images can kill the performance your Restricted Boltzmann Machine + Classifier pipeline when utilizing raw pixels as feature vectors. Today I am going to continue that discussion. And…