Neural Network Basics
Build and train feedforward neural networks from scratch.
0%
Confidence · no data yet
After this skill you can…
- Implement a 2-layer net in NumPy and PyTorch
- Understand forward and backward pass
- Tune learning rate, batch size, and depth
Prerequisites
Watch (10 videos)
Architecting Intelligence: Algorithmic Deep Dives into Continuous Learning & Topology. LoRA, EWC
→ Understand neural network fundamentals→ Apply neural networks to continuous learning problems
Giving My Go Program a Mouth and Ears (Pure Go Voice Control)
→ Build a neural network engine from scratch→ Implement speech-to-text functionality
Generative Adversarial Network Simplified #artificialintelligence #machinelearning #deeplearning
→ Understand neural network basics→ Apply neural networks to real-world problems
Deep Learning Full Course 2026 [FREE] | Deep Learning Tutorial | Deep Learning Course | Simplilearn
→ Build neural networks→ Implement deep learning models→ Use TensorFlow and Keras
Pytorch Embedding Model Part 3
→ Implement neural network architectures→ Utilize embedding layers→ Optimize model parameters
Machine Learning Rust Candle Hugging Face Part 4
→ Build a multi-layer perceptron→ Troubleshoot neural network code
Deep Learning in 20 seconds @FameWorldEducationalHub #deeplearning
→ Design and implement neural networks→ Use deep learning for natural language processing
Generative AI Course Full course -10 hours [2026] | Gen AI Tutorial for Beginners | Edureka Live
→ Build neural networks→ Implement deep learning algorithms→ Use generative models for data generation
3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
→ Understand neural network fundamentals→ Apply deep learning concepts to computer vision problems
Lec 09. Hacker's Guide to Deep Learning
→ Train deep neural networks→ Implement effective deep learning techniques
Read (10 articles)
📄
DeepCamp AI