added references to state_dict and libtorch pages from the root README

Author: motus

README.md

@@ -7,4 +7,8 @@ with Python and machine learning.
 Our approach is inspired by a classical book,
 [The Little Schemer](http://www.ccs.neu.edu/home/matthias/BTLS/index.html).
 
-For now, there is only one chapter here, [MNIST example dissected](mnist/)
+For now, there are only a few documents here:
+
+* [MNIST example dissected](mnist/) (only the first two chapters finished)
+* [Anatomy of the serialized MNIST model](load/state_dict.ipynb)
+* [libtorch classes and code generation](libtorch/1_libtorch_classes.md)

mnist/README.md

@@ -5,6 +5,6 @@ Explore the components of the
 
 * Part 1: [Loading the data](1_mnist_load.ipynb)
 * Part 2: [Model components and forward propagation](2_mnist_model.ipynb)
-* Part 3: [Autodiff and backpropagation](3_mnist_backprop.ipynb)
-* Part 4: [Training the model](4_mnist_train.ipynb)
-* Part 5: [Visualizing the results](5_mnist_visualize.ipynb)
+* ~Part 3: [Autodiff and backpropagation](3_mnist_backprop.ipynb)~
+* ~Part 4: [Training the model](4_mnist_train.ipynb)~
+* ~Part 5: [Visualizing the results](5_mnist_visualize.ipynb)~