Navigate
Data Analytics Tutorial for Beginners
Artificial Intelligence for Beginners
Machine Learning Tutorial for Beginners
Deep Learning Tutorial for Beginners
Content
- Updated on 10/09/2024
- 450 Views
Basic Structure of Neural Networks
Input Layer: Takes in the input features.
Hidden Layers: Perform computations and transformations on the input data.
Output Layer: Produces the final prediction.
Types of Neural Networks
Feedforward Neural Network: Data flows in one direction from input to output.
Convolutional Neural Network (CNN): Used for image recognition and processing.
Recurrent Neural Network (RNN): Used for sequence data like time series and text.
How Neurons Work
How Neurons Work: Each neuron receives input, processes it with weights and biases, applies an activation function, and passes the output to the next layer.
Example
Draw an input layer: 3 neurons, one hidden layer with 4 neurons, and an output layer with 1 neuron.
Label the input neurons: X1, X2, X3.
Label the hidden layer neurons: H1, H2, H3, H4.
Label the output neuron: Y.
Mathematical Representation
Input layer: X = [X1, X2, X3]
Hidden layer: H = ReLU(W_input→hidden ⋅ X + b_hidden)
Output layer: Y = Sigmoid(W_hidden→output ⋅ H + b_output)
Activity
ActivityDraw a simple diagram of a neural network with an input layer, one hidden layer, and an output layer. Label the neurons, layers, and connections.
Quiz
1. What does the input layer in a neural network do?
- a) Produces the final prediction
- b) Performs computations
- c) Takes in the input features
- d) Applies activation functions
2. Which type of neural network is used for image recognition?
- a) Feedforward Neural Network
- b) Convolutional Neural Network (CNN)
- c) Recurrent Neural Network (RNN)
- d) Radial Basis Function Network
3. What do neurons apply to decide whether to pass the information to the next layer?
- a) Activation function
- b) Loss function
- c) Learning rate
- d) Regularization
4. Which neural network is used for sequence data like text?
- a) Feedforward Neural Network
- b) Convolutional Neural Network (CNN)
- c) Recurrent Neural Network (RNN)
- d) Generative Adversarial Network (GAN)
5. True or False: Data flows in both directions in a Feedforward Neural Network.
- a) True
- b) False
Unlock Expert Career Advice For Free
