LearnFlat · AI, Tech & Engineering · AI & Machine Learning

Deep Learning

Dive into the world of artificial neural networks. Learn to build, train, and optimize deep learning models for complex tasks using frameworks like TensorFlow and PyTorch.

Deep Learning

Express Guide to Artificial Neural Networks

Tensor Calculus and Analysis for CSIR-UGC NET Preparation

Deep Learning and AI in Business: From Hype to Real-World Value

Practical Machine Learning with TensorFlow: Building Classification Models

Building Regression Models with TensorFlow

Practical Machine Learning with TensorFlow: The Foundations

Practical Machine Learning with TensorFlow for Software Engineers

NDA and Defense Exams Mathematics Practice Guide

Introduction to Deep Learning and Neural Networks

Introduction to Deep Learning: Fundamentals and Modern Architectures

Hands-On Deep Learning with PyTorch and Transformers

Deep Learning with PyTorch: Foundations and Model Workflows

Fully Connected Neural Networks with Keras and Python

Retraining Keras Models: Updating Saved Models with New Data

Nx Named Inputs: Reusing Glob Patterns in Monorepos

Building Neural Networks with TensorFlow and Keras in Python

Adjusting Keras Learning Rates During Model Training

Foundations of Neural Networks and Deep Learning in Python

Introduction to Machine Learning with Jupyter, TensorFlow, and Keras

Neural Network Data Converters: Feature Processing and Decision Boundaries

Practical Machine Learning with TensorFlow, Keras, and Pose Detection

Data Transformation for Neural Networks: Building Input Pipelines

Practical Deep Learning with TensorFlow and Keras

Deploying Neural Networks: Overcoming Production Challenges