[Doc] fix example nets rst errors, redirect old page

docs/example-networks.md

 # Status for FINN example networks
 
-FINN uses [several pre-trained QNNs](https://github.com/maltanar/brevitas_cnv_lfc) that serve as examples and testcases. You can find a status summary below for each network.
+This page has moved to:
 
-* TFC, SFC, LFC... are fully-connected networks trained on the MNIST dataset
-* CNV is a convolutional network trained on the CIFAR-10 dataset
-* w_a_ refers to the quantization used for the weights (w) and activations (a) in bits
-
-
-|                           	| Basic test | TFC-w1a1 	| TFC-w1a2 	| CNV-w1a1 	| CNV-w1a2 	| CNV-w2a2 	|
-|---------------------------	|------------ |----------	|----------	|----------	|----------	|----------	|
-| Export/Import             	| x           | x        	| x        	| x        	|          	|          	|
-| Streamlining              	| x           | x        	| x        	|          	|          	|          	|
-| Convert to HLS layers     	| x           | x        	|          	|          	|          	|          	|
-| npysim                    	| x           | x        	|          	|          	|          	|          	|
-| Stitched IPI design        	| x           | x        	|          	|          	|          	|           |
-| rtlsim node-by-node        	| x           | x        	|          	|          	|          	|          	|
-| rtlsim stitched IP        	| x           | x        	|          	|          	|          	|          	|
-| Hardware test             	| x           | x        	|          	|          	|          	|          	|
+https://finn-dev.readthedocs.io/en/latest/example_networks.html

docs/finn/example_networks.rst

@@ -4,24 +4,33 @@
 Example Networks
 ***************
 
-FINN uses [several pre-trained QNNs](https://github.com/maltanar/brevitas_cnv_lfc) that serve as examples and testcases. You can find a status summary below for each network.
+FINN uses `several pre-trained QNNs <https://github.com/maltanar/brevitas_cnv_lfc>`_ that serve as examples and testcases.
+You can find a status summary below for each network.
 
 * TFC, SFC, LFC... are fully-connected networks trained on the MNIST dataset
 * CNV is a convolutional network trained on the CIFAR-10 dataset
-* w_a_ refers to the quantization used for the weights (w) and activations (a) in bits
+* w\_a\_ refers to the quantization used for the weights (w) and activations (a) in bits
 
 The rows in the table are different steps of the FINN end-to-end flow.
 If a particular network is supported for a particular step in the current FINN
 version, this is indicated by an x mark in the table.
 
-
-|                           	| Basic test | TFC-w1a1 	| TFC-w1a2 	| CNV-w1a1 	| CNV-w1a2 	| CNV-w2a2 	|
-|---------------------------	|------------ |----------	|----------	|----------	|----------	|----------	|
-| Export/Import             	| x           | x        	| x        	| x        	|          	|          	|
-| Streamlining              	| x           | x        	| x        	|          	|          	|          	|
-| Convert to HLS layers     	| x           | x        	|          	|          	|          	|          	|
-| npysim                    	| x           | x        	|          	|          	|          	|          	|
-| Stitched IPI design        	| x           | x        	|          	|          	|          	|           |
-| rtlsim node-by-node        	| x           | x        	|          	|          	|          	|          	|
-| rtlsim stitched IP        	| x           | x        	|          	|          	|          	|          	|
-| Hardware test             	| x           | x        	|          	|          	|          	|          	|
++-----------------------+------------+----------+----------+----------+----------+----------+
+| FINN step             | Basic test | TFC-w1a1 | TFC-w1a2 | CNV-w1a1 | CNV-w1a2 | CNV-w2a2 |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| Export/Import         | x          | x        | x        | x        |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| Streamlining          | x          | x        | x        |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| Convert to HLS layers | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| Stitched IP           | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| Hardware test         | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| npysim                | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| rtlsim node-by-node   | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+
+| rtlsim stitched IP    | x          | x        |          |          |          |          |
++-----------------------+------------+----------+----------+----------+----------+----------+