Horse-and-Human-classification-with-Tensorflow

• Step 1:Starting with OS library to use Operating System libraries, giving you access to the file system, and the zipfile library allowing you to unzip the data.
• Step 2:Import tensorflow.
• Step 3: Adding convolutions
• Step 4: Using optimizers and loss function
• Step 5: Data preprocessing
• Step 6: Training
• Step 7:Running the model

For Convolutions and pooling these are refernce links prefer them to have a better understanding.

1. https://www.tensorflow.org/versions/r1.8/api_docs/python/tf/keras/layers/Conv2D
2. https://www.tensorflow.org/versions/r1.8/api_docs/python/tf/layers/MaxPooling2D
3. https://keras.io/layers/convolutional/
4. https://keras.io/layers/pooling/
5. https://keras.io/optimizers/ for information about optimizers.

check out the playlist at

https://bit.ly/2UGa7uH. For more information on convolutions

You can check out keras and Tensorflow documentation for more information.

For getting complete understanding you can take Specialization course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning! on coursera.

https://www.coursera.org/learn/introduction-tensorflow?