Gradient-Based Learning In Numpy
Author(s): Shashank Bhushan Originally published on Towards AI. Photo by Erol Ahmed on Unsplash What is Gradient-Based Learning? Mathematically training a neural network can be framed as an optimization problem in which we either try to maximize or minimize some function f(x). …
Popular posts
Updates
Recent Posts
Why Bots Fail Googleβs βIβm Not a Robotβ Test β But You Pass
November 14, 2024Elon Muskβs Own AI Flags Him as a Leading Misinformation Source on X
November 13, 202410 Effective Strategies to Lower LLM Inference Costs
November 13, 2024Google Launches New AI βLearning Companionβ Tool
November 13, 2024Is It a Bird? Creating a Bird Classifier in Minutes with Deep Learning 🐦
November 13, 2024AI
Algorithms
Analytics
Artificial Intelligence
Big Data
Business
Chatgpt
Classification
Computer Science
computer vision
Data
Data Analysis
Data Science
Data Visualization
Deep Learning
education
Finance
Generative Ai
Image Processing
Innovation
Large Language Models
Linear Regression
Llm
machine learning
Mathematics
Mlops
Naturallanguageprocessing
Neural Networks
NLP
OpenAI
Pandas
Programming
Python
research
science
Software Development
Startup
Statistics
technology
Tensorflow
Thesequence
Towards AI
Towards AI - Medium
Towards AIβββMultidisciplinary Science Journal - Medium
Transformers