WalkSelf · 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

TensorFlow Under the Hood: Hardware and Compiler Fundamentals

Demystifying the Sigmoid Function in Neural Networks

Applying Gradient Descent in Neural Networks

Practical TensorFlow Architecture and Machine Learning with Keras

Validating Neural Network Weights and Gradient Descent

Data Preprocessing for Neural Networks: Mastering Sample Preparation

Deploying Neural Networks: From Architecture to Production

Predicting Data with TensorFlow and Keras: A Practical Guide

TensorFlow.js Model Layers: Machine Learning in JavaScript

Neural Network Integration: Building Multi-Model AI

Visualizing Learning Rate & Loss with TensorFlow & Keras

Gradients and Learning Rates for Deep Learning

Deep Learning Optimization with TensorFlow and Keras

Build Web ML Apps with TensorFlow.js

Practical Image Processing with Keras

Image Classification with TensorFlow and Keras

TensorFlow.js Dataset Engineering: Machine Learning in JavaScript

Sigmoid and ReLU: Essential Activation Functions with TensorFlow

Build Image Models with TensorFlow.js in JavaScript

Understanding Softmax: Classification in TensorFlow and Keras

Understanding Neural Network Architecture with TensorFlow and Keras

Optimizers and Loss Functions in TensorFlow and Keras

Model Training Fundamentals with TensorFlow and Keras

Model Comparison and Tuning in TensorFlow and Keras